DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT : INSPEC THROUGH L




.

.

GOOGLE SITES CIS RESEARCH GUIDE SITE MAP DATABASES

 

AMOUNT OF CIS CONTENT IN A WIDE RANGE OF DATABASES 
WITH CONTENT SAMPLES FOR SOME

 

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE 
FROM SELECTED SEARCH ENGINES DISCOVERY TOOLS

http://tinyurl.com/ya4oggx9

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :   A THROUGH  B

http://tinyurl.com/ydg8z52h

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :   C   PART ONE

http://tinyurl.com/y9my4ppp

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :   C    PART TWO

http://tinyurl.com/yc4sfdta

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT:   D

http://tinyurl.com/yay8pkc3

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT:   E    PART ONE

http://tinyurl.com/ydamheob

 


DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT:    E    PART TWO

http://tinyurl.com/y72w6xq6

 


DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT:     F THROUGH G

http://tinyurl.com/ydbxj5o7

 


DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT: 
H THROUGH INGENTA
 

http://tinyurl.com/y9vj85y6

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :    INSPEC THROUGH  L

http://tinyurl.com/yaxurho3

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :    M THROUGH MLA

http://tinyurl.com/yct8k9o9

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :    MLA THROUGH N

http://tinyurl.com/ydeyt2d7

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :   O

http://tinyurl.com/y8kh4r5u

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :   P   PART ONE

http://tinyurl.com/ybe63hl7

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :   P   PART TWO
POLLUTION THROUGH PROQUEST STATISTICAL INSIGHT

http://tinyurl.com/y9s24mth

 

 

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :    PSY THROUGH PZ

http://tinyurl.com/ydgwy6zp

 

 

DATABASES USEFUL FOR COMPUTER SCIENCE AND INFORMATION SCIENCE RESEARCH:   R

http://tinyurl.com/yapzpw7a

 

 

DATABASES USEFUL FOR COMPUTER SCIENCE AND INFORMATION SCIENCE RESEARCH:    S THROUGH SCOPUS

http://tinyurl.com/ydylk7f2

 

 

DATABASES USEFUL FOR COMPUTER SCIENCE AND INFORMATION SCIENCE RESEARCH:
SEARCH.BIOPREPRINT THROUGH SZ

http://tinyurl.com/y8aajt3x

 

 

DATABASES USEFUL FOR COMPUTER SCIENCE AND INFORMATION SCIENCE RESEARCH:     T THROUGH Z

http://tinyurl.com/ya2qprg5

 

 

 



.

DATABASE SEARCH RESULTS FOR COMPUTER AND INFORMATION SCIENCE CONTENT :  INSPEC THROUGH L

.

"computer science" OR "information science" OR "computer programming" OR informatics OR "data management" OR "information security" OR "network security" OR forensics OR "visual computing" OR "data mining" OR "machine learning" OR "multimedia databases" OR "artificial intelligence"




.


Compendex

Inspec  





Engineering Village

2,769,822 Results




SEE COMPENDEX FOR CONTENT SAMPLE


*
International Encyclopedia of the Social and Behavioral Sciences 
7,061 results


CONTENT SAMPLE


1
Statistical and machine-learning data mining: techniques for better predictive modeling and analysis of big data
Ratner, Bruce. Statistical and machine-learning data mining: techniques for better predictive modeling 
and analysis of big data, xxv, 516. Boca Raton FL: CRC Press, 2012. 

...edition of a bestseller, Statistical and hitMachine-
hitLearning 
hitData 
hitMining:
 ...statistical hitdata 
hitmining and 
hitmachine-
hitlearning 
hitdata 
hitmining. The first edition,
 ...reflect the increased coverage of hitmachine-
hitlearning 
hitdata 
hitmining techniques, the


Cited by (‎29)    
Abstract/Details

 Preview M
Select result item

2
Data mining: practical machine learning tools and techniques
Witten, I H; Frank, Eibe; Hall, Mark A. Data mining: practical machine learning tools and techniques, xxxiii, 629. 
Burlington MA: Morgan Kaufmann, 2011. 

...hitData 
hitmining: practical 
hitmachine 
hitlearning tools and techniques offers a thorough
 ...hitdata 
hitmining situations. This highly anticipated third edition of the most


Cited by (‎1377)    
Abstract/Details

 Preview M
Select result item

3
GANNET: A machine learning approach to document retrieval
Chen, Hsinchun; Kim, Jinwoo. Journal of Management Information Systems: JMIS; Armonk11.3 (Winter 1994/1995): 7. 

...attracted attention of researchers in hitartificial 
hitintelligence, 
hitcomputer 
hitscience,
 ...used extensively by hitinformation 
hitscience researchers. These techniques have
 ...Grounded on various hitmachine 
hitlearning techniques, the approach is automatic and


Cited by (‎1)    
Abstract/Details
Full text
 Preview M
Select result item

4
Principles and Theory for Data Mining and Machine Learning
Ahn, Jeongyoun. Journal of the American Statistical Association; Alexandria106.493 (Mar 2011): 379. 

...hitData 
hitMining and 
hitMachine 
hitLearning by Bertrand Clarke, Ernest Fokoue, and Hao

Abstract/Details

 Preview M
Select result item

5
Selectively Acquiring Customer Information: A New Data Acquisition Problem and an Active Learning-Based Solution
Zheng, Zhiqiang; Padmanabhan, Balaji. Management Science; Linthicum52.5 (May 2006): 697-712. 

...information acquisition; active learning; hitdata 
hitmining History: Accepted by
 ...results will be analyzed. In hitdata 
hitmining, data miners often first collect data

Images (20) Show all





Abstract/Details
Full text
Full text - PDF (5 MB)‎
 Preview M
Select result item

6
Which method predicts recidivism best?: a comparison of statistical, machine learning and data mining predictive models
Tollenaar, N; van der Heijden, P G M. 
Journal of the Royal Statistical Society. Series A, Statistics in Society; Oxford176.2 (Feb 2013): 565. 

...modern statistics, hitdata 
hitmining and 
hitmachine 
hitlearning provide an improvement in


Cited by (‎3)    References (‎46)    
Abstract/Details

 Preview M
Select result item

7
On automated discovery of models using genetic programming: Bargaining in a three-agent coalitions game
Dworman, Garett; Kimbrough, Steven O; Laing, James D. Journal of Management Information Systems: 
JMIS; Armonk12.3 (Winter 1995/1996): 97. 

...other applications. Recent work in hitmachine 
hitlearning has demonstrated that


Cited by (‎6)    
Abstract/Details
Full text
Full text - PDF (1 MB)‎
 Preview M
Select result item

8
Artificial Intelligence, Simulation, and Modeling
Widman, Lawrence E; Loparo, Kenneth A. Interfaces; Linthicum20.2 (Mar/Apr 1990): 48. 

...hitartificial 
hitintelligence and simulation has stimulated interest in both
 ...hitartificial 
hitintelligence workers find that their programs break down when they


Cited by (‎16)    
Abstract/Details

 Preview M
Select result item

9
Artificial Intelligence and the Management Science Practitioner: Rational Choice and Artificial Intelligence
Jacob, Varghese S; Moore, James C; Whinston, Andrew B. Interfaces; Linthicum18.4 (Jul/Aug 1988): 24. 

...research, hitcomputer 
hitscience, psychology, decision theory, and economics. 
 ...of hitartificial 
hitintelligence (AI) research today is on

Abstract/Details

 Preview M
Select result item

10
Experience Assessment and Design in the Analysis of Gameplay
Cowley, Benjamin; Kosunen, Ilkka; Lankoski, Petri; Kivikangas, J Matias; Järvelä, Simo; et al. 
Simulation & Gaming; Thousand Oaks45.1 (Feb 2014): 41. 

...hitmachine 
hitlearning, conducted through interdisciplinary collaboration between
 ...we describe our methodology for using hitmachine 
hitlearning to categorize game events
 ...psychophysiology research with game design patterns and hitmachine 
hitlearning, and


Cited by (‎1)    References (‎112)    
Abstract/Details

 Preview M
Select result item

11
Patent analysis for technology d


*

International Index to Music Periodicals 
614 results


Content Sample

1
ISMIR 2002 - 3rd International Conference on Music Information Retrieval
Music Theory Online; Chicago8 (Feb 2002): np. 

...retrieval: hitartificial 
hitintelligence, 
hitdata 
hitmining, expert systems, formal models

Abstract/Details

 Preview M
Select result item

2
Machine Learning of Jazz Grammars
Gillick, Jon; Tang, Kevin; Keller, Robert M. Computer Music Journal; Menlo Park, Calif., etc.34.3 (Fall 2010): 56-66. 


Cited by (‎6)    
Abstract/Details
Link to Project MUSE full text
Link to external site, this link will open in a new window


 Preview M
Select result item

3
Call for Papers: International Conference on Music Information Retrieval
Music Theory Online; Chicago9 (Mar 2003): np. 

...hitartificial 
hitintelligence and 
hitmachine 
hitlearning; (3) databases and 
hitdata 
hitmining; (4)

Abstract/Details

 Preview M
Select result item

4
Document - Machine Learning and Sound Design: A Case Study
Miranda, Eduardo Reck. Leonardo Music Journal; Cambridge, Mass.7 (1997): 49-55. 

...hitMachine 
hitLearning (ML) in sound design, focusing on the modeling of a particular
 ...are introduced in the context of ARTIST (hitARTificial 
hitIntelligence Sound Tools),

Abstract/Details

 Preview M
Select result item

5
Introduction to the Special Issue on Music and Machine Learning
Conklin, Darrell; Ramirez, Rafael. Journal of New Music Research; Abingdon40.2 (Jun 2011): 91-92. 

...Special Issue on Music and hitMachine 
hitLearning 

Abstract/Details

 Preview M
Select result item

6
Bringing 'Musicque into the tableture': machine-learning models for polyphonic transcription of 16th-century lute tablature
de Valk, Reinier; Weyde, Tillman. Early Music; Oxford43.4 (Nov 2015): 563. 

...variants of a hitmachine-
hitlearning model for voice separation and duration

Abstract/Details

 Preview M
Select result item

7
Artificial Intelligence and Music: An Artificial Intelligence Approach to Sound Design
Miranda, Eduardo Reck. Computer Music Journal; Menlo Park, Calif., etc.19.2 (Summer 1995): 59. 

Details

 Preview M
Select result item

8
Artificial Intelligence and Music: On the Role of Artificial Intelligence in Music Research
Camurri, Antonio. Journal of New Music Research; Lisse19.2-3 (1990): 219. 

Details

 Preview M
Select result item

9
Care to Listen: Milton Babbitt and Information Science in the 1950s
Maconie, Robin. Tempo - A Quarterly Review of Modern Music; London65 (Oct 2011): 20-36. 

...hitinformation 
hitscience and 
hitartificial 
hitintelligence in the 1950s. Babbitt's habit


Cited by (‎1)    
Abstract/Details
Full text - PDF (157 KB)‎
 Preview M
Select result item

10
Announcements: Music Informatics Program at Indiana University, Bloomington
Computer Music Journal; Menlo Park, Calif., etc.29.2 (Summer 2005): 5. 

...backgrounds in both hitcomputer 
hitscience or 
hitinformatics and music.
 ...Music hitInformatics program within its School of 
hitInformatics. A Master'

*

International Pharmaceutical Abstracts 
1,597 Results


Content Sample

1.

An Approach for All in Pharmacy Informatics Education.

Fox, BI. Flynn, A. Clauson, KA. Seaton, TL. Breeden, E.
American Journal of Pharmaceutical Education. 81(2): p NIL_0145-NIL_0157. 2017.
[Review. Journal article]
  My Projects  Annotate
2.

A proposed national research and development agenda for population health informatics: summary recommendations from a national expert workshop.

Kharrazi, H. Lasser, EC. Yasnoff, WA. Loonsk, J. Weiner, JP. et al.
Journal of the American Medical Informatics Association. 24(1): p 2-12. 2017.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
3.

Biomedical Informatics Approaches to Identifying Drug-Drug Interactions Application to Insulin Secretagogues .

Han, X. Chiang, CW. Leonard, CE. Bilker, WB. Hennessy, S. et al.
Epidemiology. 28(3): p 459-468. 2017.
[Journal article]
 Article As PDF Article as PDF (488KB)  My Projects  Annotate
4.

Online cancer communities as informatics intervention for social support: conceptualization, characterization, and impact.

Zhang, SD. Bantum, EO. Owen, J. Bakken, S. Elhadad, N.
Journal of the American Medical Informatics Association. 24(2): p 451-459. 2017.
[Review. Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
5.

A Practical Framework Toward Prediction of Breaking Force and Disintegration of Tablet Formulations Using Machine Learning Tools.

Akseli, I. Xie, JJ. Schultz, L. Ladyzhynsky, N. Schwabe, R. et al.
Journal of Pharmaceutical Sciences. 106(1): p 234-247. 2017.
[Journal article]
  My Projects  Annotate
6.

Artificial Intelligence Tools for Scaling Up of High Shear Wet Granulation Process.

Landin, M.
Journal of Pharmaceutical Sciences. 106(1): p 273-277. 2017.
[Journal article]
  My Projects  Annotate
7.

Evaluation of the Expression Profile of Extrapyramidal Symptoms Due to Antipsychotics by Data Mining of Japanese Adverse Drug Event Report (JADER) Database.

Kose, E. Uno, K. Hayashi, H.
Yakugaku Zasshi - Journal of the Pharmaceutical Society of Japan. 137(1): p 111-120. 2017.
[Journal article]
  My Projects  Annotate
8.

Artificial Intelligence and Amikacin Exposures Predictive of Outcomes
in Multidrug-Resistant Tuberculosis Patients.

Modongo, C. Pasipanodya, JG. Magazi, BT. Srivastava, S. Gumbo, T. et al.
Antimicrobial Agents & Chemotherapy. 60(10): p 5928-5932. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
9.

Towards better modelling of drug-loading in solid lipid nanoparticles:
Molecular dynamics, docking experiments and Gaussian Processes machine learning.

Hathout, RM. Metwally, AA.
European Journal of Pharmaceutics & Biopharmaceutics. 108(NOV): p 262-268. 2016.
[Journal article]
  My Projects  Annotate
10.

Data Mining of the US FDA's Adverse Events Reporting System Database
to Evaluate Drug-Drug Interactions Associated with Statin-Induced Rhabdomyolysis.

Munoz, MA. Tonning, JM. Brinker, AD. Delaney, JA. Avigan, M. et al.
Pharmaceutical Medicine. 30(6): p 327-337. 2016.
[Journal article]
  My Projects  Annotate
11.

Efficient identification of nationally mandated reportable cancer cases
using natural language processing and machine learning.

Osborne, JD. Wyatt, M. Westfall, AO. Willig, J. Gordon, G. et al.
Journal of the American Medical Informatics Association. 23(6): p 1077-1084. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
12.

Eligibility requirements for advanced health informatics certification.

Gadd, CS. Williamson, JJ. Steen, EB. Andriole, KP. Fridsma, DB. et al.
Journal of the American Medical Informatics Association. 23(4): p 851-854. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
13.

Development and implementation of a multitiered health informatics curriculum
in a college of pharmacy.

Breeden, EA. Clauson, KA.
Journal of the American Medical Informatics Association. 23(4): p 844-847. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
14.

The organization and content of informatics doctoral dissertations.

Shortliffe, EH.
Journal of the American Medical Informatics Association. 23(4): p 840-843. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
15.

Health informatics and analytics - building a program to integrate business analytics
across clinical and administrative disciplines.

Tremblay, MC. Deckard, GJ. Klein, R.
Journal of the American Medical Informatics Association. 23(4): p 824-828. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
16.

Developing new pathways into the biomedical informatics field:
the AMIA High School Scholars Program.

Unertl, KM. Finnell, JT. Sarkar, IN.
Journal of the American Medical Informatics Association. 23(4): p 819-823. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
17.

Assessment-based health informatics curriculum improvement.

Berner, ES. Dorsey, AD. Garrie, RL. Qu, HY.
Journal of the American Medical Informatics Association. 23(4): p 813-818. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
18.

Use of data mining at the Food and Drug Administration.

Duggirala, HJ. Tonning, JM. Smith, E. Bright, RA. Kass-Hout, T. et al.
Journal of the American Medical Informatics Association. 23(2): p 428-434. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
19.

Harnessing next-generation informatics for personalizing medicine:
a report from AMIA's 2014 Health Policy Invitational Meeting.

Wiley, LK. Tarczy-Hornoch, P. Denny, JC. Martin, RD. Sarkar, IN. et al.
Journal of the American Medical Informatics Association. 23(2): p 413-419. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
20.

OrderRex: clinical order decision support and outcome predictions
by data-mining electronic medical records.

Chen, JH. Podchiyska, T. Altman, RB.
Journal of the American Medical Informatics Association. 23(2): p 339-348. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
21.

Creating advanced health informatics certification.

Gadd, CS. Williamson, JJ. Steen, EB. Fridsma, DB.
Journal of the American Medical Informatics Association. 23(4): p 848-850. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
22.

Core informatics competencies for clinical and translational scientists:
what do our customers and collaborators need to know?

Valenta, AL. Meagher, EA. Tachinardi, U. Starren, J.
Journal of the American Medical Informatics Association. 23(4): p 835-839. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
23.

Early experiences of accredited clinical informatics fellowships.

Longhurst, CA. Pageler, NM. Palma, JP. Finnell, JT. Hersh, WR. et al.
Journal of the American Medical Informatics Association. 23(4): p 829-834. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
24.

An informatics research agenda to support precision medicine: seven key areas.

Tenenbaum, JD. Avillach, P. Benham-Hutchins, M. Breitenstein, MK. Freimuth, RR. et al.
Journal of the American Medical Informatics Association. 23(4): p 791-795. 2016.
[Journal article]

library has some holdings; check journal list for details
  My Projects  Annotate
25.

Incorporating Health Information Technology and Pharmacy Informatics 
in a Pharmacy Professional Didactic Curriculum-with a Team-based Learning Approach.

Hincapie, AL. Cutler, TW. Fingado, AR.
American Journal of Pharmaceutical Education. 80(6): p NIL_0130-NIL_0140. 2016.
[Journal article]
  My Projects  Annotate

*

IOPscience (Institute of Physics journals) 
3,447 Results


Content Sample

Searching for Pulsars Using Image Pattern Recognition
Journal article   

W. W. Zhu, A. Berndsen, E. C. Madsen, M. Tan, I. H. Stairs, A. Brazier, P. Lazarus, R. Lynch, P. Scholz, K. Stovall,
S. M. Ransom, S. Banaszak, C. M. Biwer, S. Cohen, L. P. Dartez, J. Flanigan, G. Lunsford, J. G. Martinez, A.
Mata, M. Rohr, A. Walker, B. Allen, N. D. R. Bhat, S. Bogdanov, F. Camilo, S. Chatterjee, J. M. Cordes,
F. Crawford, J. S. Deneva, G. Desvignes, R. D. Ferdman, P. C. C. Freire, J. W. T. Hessels, F. A. Jenet, D. L.
Kaplan, V. M. Kaspi, B. Knispel, K. J. Lee, J. van Leeuwen, A. G. Lyne, M. A. McLaughlin, X.
Siemens, L. G. Spitler and A. Venkataraman

2014 Astrophys. J. 781 117 doi:10.1088/0004-637X/781/2/117
View abstract

View article
PDF

Artificial intelligence in nanotechnology
Journal article 

G M Sacha and P Varona

2013 Nanotechnology 24 452002 doi:10.1088/0957-4484/24/45/452002
View abstract

View article
PDF

DataHigh: graphical user interface for visualizing and interacting with high-dimensional neural activity
Journal article 

Benjamin R Cowley, Matthew T Kaufman, Zachary S Butler, Mark M Churchland, Stephen I Ryu,
Krishna V Shenoy and Byron M Yu

2013 J. Neural Eng. 10 066012 doi:10.1088/1741-2560/10/6/066012
View abstract

View article
PDF

Optimal kernel shape and bandwidth for atomistic support of continuum stress
Journal article 

Manfred H Ulz and Sean J Moran

2013 Modelling Simul. Mater. Sci. Eng. 21 085017 doi:10.1088/0965-0393/21/8/085017
View abstract

View article
PDF

Current breathomics—a review on data pre-processing techniques and machine learning
in metabolomics breath analysis
Journal article 

A Smolinska, A-Ch Hauschild, R R R Fijten, J W Dallinga, J Baumbach and F J van Schooten

2014 J. Breath Res. 8 027105 doi:10.1088/1752-7155/8/2/027105
View abstract

View article
PDF

Machine learning methods on exhaled volatile organic compounds
for distinguishing COPD patients from healthy controls
Journal article 

Chris O Phillips, Yasir Syed, Neil Mac Parthaláin, Reyer Zwiggelaar,
Tim C Claypole and Keir E Lewis

2012 J. Breath Res. 6 036003 doi:10.1088/1752-7155/6/3/036003
View abstract

View article
PDF

Uncovering structure-property relationships of materials by subgroup discovery
Journal article OPEN ACCESS 

Bryan R Goldsmith, Mario Boley, Jilles Vreeken, Matthias Scheffler and Luca M Ghiringhelli

2017 New J. Phys. 19 013031 doi:10.1088/1367-2630/aa57c2
View abstract

View article
PDF

Predicting the lung compliance of mechanically ventilated patients via statistical modeling
Journal article 

Steven Ganzert, Stefan Kramer and Josef Guttmann

2012 Physiol. Meas. 33 345 doi:10.1088/0967-3334/33/3/345
View abstract

View article
PDF

Particle detection optimization by means of a distributed evolutionary algorithm
Journal article 

Adam Padée, Krzysztof Zaremba and Krzysztof Kurek

2007 Meas. Sci. Technol. 18 2472 doi:10.1088/0957-0233/18/8/023
View abstract

View article
PDF

DAMEWARE: A Web Cyberinfrastructure for Astrophysical Data Mining
Journal article 

Massimo Brescia, Stefano Cavuoti, Giuseppe Longo, Alfonso Nocella, Mauro Garofalo,
Francesco Manna, Francesco Esposito, Giovanni Albano, Marisa Guglielmo,
Giovanni D'Angelo, Alessandro Di Guido, S. George Djorgovski, Ciro Donalek,
Ashish A. Mahabal, Matthew J. Graham, Michelangelo Fiore and Raffaele D'Abrusco

2014 1538-3873 126 783 doi:10.1086/677725
View abstract


*

*

J

*

*


Journals@OVID 
97,071 Results


Content Sample

1.

Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology.

Wiens, Jenna PhD; Shenoy, Erica S MD, PhD
Clinical Infectious Diseases.
[Special Section/Invited Article: PDF Only]
AN: 01451458-900000000-99586.
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 22 August 2017
 My Projects  Annotate
2.

Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis.

Ambale-Venkatesh, Bharath 1; Yang, Xiaoying 2; Wu, Colin O. 3; Liu, Kiang 4; Hundley, W. Gregory 5; McClelland, Robyn 6; Gomes, Antoinette S. 7; Folsom, Aaron R. 8; Shea, Steven 9; Guallar, Eliseo 10-; Bluemke, David A. 11; Lima, Joao A. C. 12
Circulation Research.
[Clinical Track: PDF Only]
AN: 00003012-900000000-97978.
Status
Publish Ahead of Print, POST ACCEPTANCE, 17 August 2017
 Article As PDF Article as PDF (2205KB)  My Projects  Annotate
3.

TIminer: NGS data mining pipeline for cancer immunology and immunotherapy.

Tappeiner, Elias; Finotello, Francesca; Charoentong, Pornpimol; Mayer, Clemens; Rieder, Dietmar; Trajanoski, Zlatko
Bioinformatics.
[Applications Note: PDF Only]
AN: 00124336-900000000-99806.


Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 5 July 2017
 My Projects  Annotate
4.

DIRECTION: a machine learning framework for predicting and characterizing DNA methylation and hydroxymethylation in mammalian genomes.

Pavlovic, Milos; Ray, Pradipta; Pavlovic, Kristina; Kotamarti, Aaron; Chen, Min; Zhang, Michael Q.
Bioinformatics.
[Original Paper: PDF Only]
AN: 00124336-900000000-99870.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 5 July 2017
 My Projects  Annotate
5.

Epigenomic annotation-based interpretation of genomic data: from enrichment analysis to machine learning.

Dozmorov, Mikhail G.
Bioinformatics.
[Review: PDF Only]
AN: 00124336-900000000-99774.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 26 July 2017
 My Projects  Annotate
6.

myVCF: a desktop application for high-throughput mutations data management.

Pietrelli, Alessandro; Valenti, Luca
Bioinformatics.
[Applications Note: PDF Only]
AN: 00124336-900000000-99707.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 15 August 2017
 My Projects  Annotate
7.

The value of prior knowledge in machine learning of complex network systems.

Ferranti, Dana; Krane, David; Craft, David
Bioinformatics.
[Original Paper: PDF Only]
AN: 00124336-900000000-99746.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 22 August 2017
 My Projects  Annotate
8.

Prediction of delayed retention of antibodies in hydrophobic interaction chromatography from sequence using machine learning.

Jain, Tushar; Boland, Todd; Lilov, Asparouh; Burnina, Irina; Brown, Michael; Xu, Yingda; Vasquez, Maximiliano
Bioinformatics.
[Original Paper: PDF Only]
AN: 00124336-900000000-99660.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 5 September 2017
 My Projects  Annotate
9.

Prediction of persistent post-surgery pain by preoperative cold pain sensitivity: biomarker development with machine-learning-derived analysis.

Lotsch, J.; Ultsch, A.; Kalso, E.
BJA: British Journal of Anaesthesia.
[Clinical investigation: PDF Only]
AN: 00002264-900000000-99933.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 6 September 2017
 My Projects  Annotate
10.

Machine-learning Support to Individual Diagnosis of Mild Cognitive Impairment Using Multimodal MRI and Cognitive Assessments.

De Marco, Matteo PhD *; Beltrachini, Leandro PhD +,++,[S]; Biancardi, Alberto PhD [//]; Frangi, Alejandro F. PhD +; Venneri, Annalena PhD *,+
Alzheimer Disease & Associated Disorders.
[Original Article: PDF Only]
AN: 00002093-900000000-99472.
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 7 September 2017
 Article As PDF Article as PDF (372KB)  My Projects  Annotate
11.

Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination.

Doiron, Dany; Marcon, Yannick; Fortier, Isabel; Burton, Paul; Ferretti, Vincent
International Journal of Epidemiology.
[Software Application Profile: PDF Only]
AN: 00004345-900000000-99859.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 6 September 2017
 My Projects  Annotate
12.

Calibration drift in regression and machine learning models for acute kidney injury.

Davis, Sharon E; Lasko, Thomas A; Chen, Guanhua; Siew, Edward D; Matheny, Michael E
Journal of the American Medical Informatics Association.
[Research and Applications: PDF Only]
AN: 00042637-900000000-99618.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 8 April 2017
 My Projects  Annotate
13.

Clinical exome sequencing reports: current informatics practice and future opportunities.

Swaminathan, Rajeswari; Huang, Yungui; Astbury, Caroline; Fitzgerald-Butt, Sara; Miller, Katherine; Cole, Justin; Bartlett, Christopher; Lin, Simon
Journal of the American Medical Informatics Association.
[Review: PDF Only]
AN: 00042637-900000000-99610.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 23 May 2017
 My Projects  Annotate
14.

Identifying reports of randomized controlled trials (RCTs) via a hybrid machine learning and crowdsourcing approach.

Wallace, Byron C; Noel-Storr, Anna; Marshall, Iain J; Cohen, Aaron M; Smalheiser, Neil R; Thomas, James
Journal of the American Medical Informatics Association.
[Brief Communication: PDF Only]
AN: 00042637-900000000-99608.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 25 May 2017
 My Projects  Annotate
15.

An informatics research agenda to support patient and family empowerment and engagement in care and recovery during and after hospitalization.

Collins, Sarah; Dykes, Patricia; Bates, David W; Couture, Brittany; Rozenblum, Ronen; Prey, Jennifer; O'Reilly, Kristin; Bourie, Patricia Q; Dwyer, Cindy; Greysen, S Ryan; Smith, Jeffery; Gropper, Michael; Dalal, Anuj K
Journal of the American Medical Informatics Association.
[Perspective: PDF Only]
AN: 00042637-900000000-99604.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 19 June 2017
 My Projects  Annotate
16.

Lessons learned from piloting mHealth informatics 
practice curriculum into a medical elective.

Fernando, Juanita; Lindley, Jennifer
Journal of the American Medical Informatics Association.
[Case Report: PDF Only]
AN: 00042637-900000000-99585.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 24 August 2017
 My Projects  Annotate
17.

Prediction of HCV vertical transmission: what are factors should
be optimized using data mining computational analysis.

Elrazek, Abd 1; Amer, Mohamed 2; El-Hawary, Bahaa 3; Salah, Altaher 4; Bhagavathula, Akshaya S. 5; Alboraie, M. 6; Saab, Samy 7
Liver International.
[Original Articles: PDF Only]
AN: 00137700-900000000-99420.
Status
published online before print, 20 June 2016
  My Projects  Annotate
18.
MUNGLE, T. 1; TEWARY, S. 1; DAS, D. K. 1; ARUN, I. 2;
BASAK, B. 2; AGARWAL, S. 2; AHMED, R. 2; CHATTERJEE, S. 2; CHAKRABORTY, C. 1
Journal of Microscopy.
[Original Articles: PDF Only]
AN: 00005021-900000000-99611.
Status
published online before print, 22 March 2017
  My Projects  Annotate
19.

AutoIHC-scoring: a machine learning framework
for automated Allred scoring of molecular expression
in ER- and PR-stained breast cancer tissue.

TEWARY, S. 1; ARUN, I. 2; AHMED, R. 2; CHATTERJEE, S. 2; CHAKRABORTY, C. 1
Journal of Microscopy.
[Original Articles: PDF Only]
AN: 00005021-900000000-99576.
Status
published online before print, 16 June 2017
  My Projects  Annotate
20.

Big data management challenges in health research-a literature review.

Wang, Xiaoming; Williams, Carolyn; Liu, Zhen Hua; Croghan, Joe
Briefings in Bioinformatics.
[Paper: PDF Only]
AN: 00131198-900000000-99938.
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 9 August 2017
 My Projects  Annotate
21.
Garcia-Arce, Andres; Rico, Florentino; Zayas-Castro, Jose L.
Journal For Healthcare Quality.
[Original Article: PDF Only]
AN: 01445442-900000000-99851.
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 24 August 2017
 Article As PDF Article as PDF (618KB)  My Projects  Annotate
22.

Exploring the Perceived Value of a Personalized Informatics 
Tool to Anticipate and Mitigate Patient Risk.

Kneeland, Michael D.; Ivory, Catherine H.; Bloomingburg, Phebe; Choma, Neesha N.
Journal For Healthcare Quality.
[Original Article: PDF Only]
AN: 01445442-900000000-99846.
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 01 September 2017
  Article as PDF (556KB)  My Projects  Annotate
23.

Laboratory parameter-based machine learning model
for excluding non-alcoholic fatty liver disease (NAFLD) in the general population.

Yip, T. C.-F. 1,2; Ma, A. J. 3; Wong, V. W.-S. 1,2; Tse, Y.-K. 1,2;
Chan, H. L.-Y. 1,2; Yuen, P.-C. 3; Wong, G. L.-H. 1,2
Alimentary Pharmacology & Therapeutics.
[ORIGINAL ARTICLES: PDF Only]
AN: 00001716-900000000-99239.
Status
published online before print, 8 June 2017
  My Projects  Annotate
24.

Machine learning reveals a non-canonical mode of peptide binding
to MHC class II molecules.

Andreatta, Massimo 1; Jurtz, Vanessa I. 2; Kaever, Thomas 
3; Sette, Alessandro 3; Peters, Bjoern 3; Nielsen, Morten 1,2
Immunology.
[Original Articles: PDF Only]
AN: 00004227-900000000-99740.

library has some holdings; check journal list for details
Status
published online before print, 21 June 2017
  My Projects  Annotate
25.

Improving the prediction performance
of a large tropical vis-NIR spectroscopic soil library
from Brazil by clustering into smaller subsets or use 

of data mining calibration techniques.

Araujo, S. R. 1; Wetterlind, J. 2; Dematte, J. A. M. 1; Stenberg, B. 2
European Journal of Soil Science.
[Original Articles: PDF Only]
AN: 00041465-900000000-99986.
Status
Publish Ahead of Print, published online before print, 7 August 2014
  My Projects  Annotate
26.

IMRT QA using machine learning: A multi-institutional validation.

Valdes, Gilmer 1, 3; Chan, Maria F. 2; Lim, Seng Boh 2; 
Scheuermann, Ryan 3; Deasy, Joseph O. 2; Solberg, Timothy D. 1, 3
Journal of Applied Clinical Medical Physics- Open Access.
[RADIATION ONCOLOGY PHYSICS: PDF Only]
AN: 02003428-900000000-99909.
Status
published online before print, 21 August 2017
  My Projects  Annotate
27.

Clinical Vestibular Testing Assessed With Machine-Learning Algorithms.

Priesol, Adrian J. MD 1; Cao, Mengfei BA 2; Brodley, Carla E. PhD 2, 3; 
Lewis, Richard F. MD 1, 4
JAMA Otolaryngology-Head & Neck Surgery.
[Research:Original Investigation:Featured: PDF Only]
AN: 01714642-900000000-99699.
Status
Publish Ahead of Print, published online before print, 26 January 2015
  My Projects  Annotate
28.

Intravoxel Incoherent Motion: Model-Free Determination 

of Tissue Type in Abdominal Organs Using Machine Learning.

Ciritsis, Alexander PhD; Rossi, Cristina PhD; 
Wurnig, Moritz C. MSc, MD; Phi Van, Valerie MD; Boss, Andreas MD, PhD
Investigative Radiology.
[Original Article: PDF Only]
AN: 00004424-900000000-99078.

library has some holdings; check journal list for details
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 24 July 2017
  Article as PDF (555KB)  My Projects  Annotate
29.

Identifying Distinct Subgroups of ICU Patients: 

Machine Learning Approach.

Vranas, Kelly C. MD 1,2; Jopling, Jeffrey K. MD, MSHS 1,3; 
Sweeney, Timothy E. MD, PhD 4;
Ramsey, Meghan C. MD 1,5; Milstein, Arnold S. MD, MPH 1; 
Slatore, Christopher G. MD, MS 6,2;
Escobar, Gabriel J. MD 7; Liu, Vincent X. MD, MS 7
Critical Care Medicine.
[Clinical Investigation: PDF Only]
AN: 00003246-900000000-96570.
Status
Publish Ahead of Print, POST AUTHOR CORRECTIONS, 21 June 2017
  Article as PDF (206KB)  My Projects  Annotate
30.

Using data mining to predict success in a weight loss trial.

Batterham, M. 1; Tapsell, L. 2; Charlton, K. 3; O'Shea, J. 3; Thorne, R. 3
Journal of Human Nutrition & Dietetics.
[Research Paper: Research Papers: PDF Only]
AN: 00009862-900000000-99780.
Status
published online before print, 9 February 2017
*


JSTOR 


"computer programming" OR informatics OR "data management" OR "information security" 
OR"network security" OR forensics OR "visual computing"
42,125 Results


Content Sample

  1. JOURNAL ARTICLE

    A Preliminary Study on the Curriculum Overlap and Gap Between LIS Education and Intelligence Education

    Journal of Education for Library and Information Science, Vol. 54, No. 4 ((Fall) October 2013), pp. 270-285
    Topics: Intelligence, Curricula, Data security, Science education, Cultural intelligence,Text analytics, Competitive intelligence, Data visualization

  2.   
    ON CAMPUS: Cyber Sentinels
    JOURNAL ARTICLE

    ON CAMPUS: Cyber Sentinels

    ASEE Prism, Vol. 14, No. 1 (SEPTEMBER 2004), p. 47
    Topics: Network security, College students, Engineering education, School campuses, Graduates, Air forces, Computer technology

  3.   
    Resources for digital defenders: WHAT YOU NEED TO READ, VISIT AND KNOW TO GET AHEAD
    JOURNAL ARTICLE

    Resources for digital defenders: WHAT YOU NEED TO READ, VISIT AND KNOW TO GET AHEAD

    US Black Engineer and Information Technology, Vol. 36, No. 4 (WINTER 2012), pp. 75-78
    Topics: Network security, Data security, Library security systems, Security clearances, Information storage and retrieval systems, Nonprofit organizations,Search engines, Security systems

  4.   
    Career Outlook: Spotlight on Cyber Security
    JOURNAL ARTICLE

    Career Outlook: Spotlight on Cyber Security

    Hispanic Engineer and Information Technology, Vol. 26, No. 1 (Spring 2011), pp. 49-60
    Topics: National security, Information technology, Intelligence services, Network security, Data security, College students, Universities, Graduates

  5.   
    Cyber Security Programs: TOP SCHOOLS WITH CYBER SECURITY/INFORMATION ASSURANCE PROGRAMS
    JOURNAL ARTICLE

    Cyber Security Programs: TOP SCHOOLS WITH CYBER SECURITY/INFORMATION ASSURANCE PROGRAMS

    US Black Engineer and Information Technology, Vol. 34, No. 3 (WINTER 2010), pp. 62-67
    Topics: National security, Intelligence services, Academic education, College students, Graduates, Research universities, Educational research, Network security

  6.   
    More Cyber Security Visionaries: You Need to Know
    JOURNAL ARTICLE
    US Black Engineer and Information Technology, Vol. 35, No. 4 (WINTER 2011), pp. 52-54, 56-60, 62-64
    Topics: Information technology, Data security, Industrial management, Network security, Cloud computing, Office management, Project management, Business structures

  7.   
    The Next Level: SECOND-GENERATION CRYPTOGRAPHER AND CYBER SECURITY SPECIALIST
    JOURNAL ARTICLE

    The Next Level: SECOND-GENERATION CRYPTOGRAPHER AND CYBER SECURITY SPECIALIST

    US Black Engineer and Information Technology, Vol. 35, No. 4 (WINTER 2011), pp. 45-46
    Topics: Cybersecurity, Data security, Cryptography, National security, Industrial management, Project management, Business structures, Information technology

  8.   
    The Next Level: CYBERSECURITY: WHAT YOU NEED TO KNOW
    JOURNAL ARTICLE

    The Next Level: CYBERSECURITY: WHAT YOU NEED TO KNOW

    US Black Engineer and Information Technology, Vol. 37, No. 3 (FALL 2013), pp. 23-25
    Topics: Electrical engineering, Systems engineering, Military defense, Information storage and retrieval systems, Cyberspace, Computer technology, Computer networking, Military operations, Network security

  9.   
    JOB HORIZON: WHERE ARE THE TOP IT JOBS IN 2015 AND BEYOND? HERE, THERE AND EVERYWHERE
    JOURNAL ARTICLE

    JOB HORIZON: WHERE ARE THE TOP IT JOBS IN 2015 AND BEYOND? HERE, THERE AND EVERYWHERE

    Women of Color Magazine, Vol. 14, No. 1 (SPRING 2015), pp. 50-52
    Topics: Data security, Network security, Three dimensional printing, Information technology, Computer programming, Industrial management, Graduates, Public sector industries, Waste management

  10.   
    Advanced Technologies and Data Management Practices in Environmental Science: Lessons from Academia
    JOURNAL ARTICLE

    Advanced Technologies and Data Management Practices in Environmental Science: Lessons from Academia

    Rebecca R. Hernandez, Matthew S. Mayernik, Michelle L. Murphy-Mariscal, Michael F. Allen
    BioScience, Vol. 62, No. 12 (December 2012), pp. 1067-1076
    SUPPLEMENTS
    Topics: Graduate students, Metadata, Environmental sciences, Environmental technology, Environmental education, Doctoral students, Sensors, Datasets

  11.   
    Career Outlook: Spotlight on Information Security
    JOURNAL ARTICLE

    Career Outlook: Spotlight on Information Security

    Cale Horion Gay, Frank McCoy
    Hispanic Engineer and Information Technology, Vol. 27, No. 1 (Spring 2012), pp. 44, 46-56
    Topics: Information technology, Electrical engineering, Software engineering,Hispanics, Cybersecurity, Project management, Electronics engineering

  12.   
    Computer Programming Skills for Environmental Sciences
    JOURNAL ARTICLE

    Computer Programming Skills for Environmental Sciences

    Denis Valle, Aaron Berdanier
    Bulletin of the Ecological Society of America, Vol. 93, No. 4 (October 2012), pp. 373-389
    Topics: Environmental sciences, Simulations, Students, Emerging technology,Ecological genetics, Human ecology, Algorithms, Scripting languages

  13.   
    Informatics Moments
    JOURNAL ARTICLE

    Informatics Moments

    The Library Quarterly: Information, Community, Policy, Vol. 82, No. 1 (January 2012), pp. 47-73
    Topics: Informatics, Literacy, Social capital, Ethnography, Focus groups,Communities, Branch libraries, Digital divide

  14.   
    Instructional strategies and tactics for the design of introductory computer programming courses in high school
    JOURNAL ARTICLE

    Instructional strategies and tactics for the design of introductory computer programming courses in high school

    JEROEN J. G. VAN MERRIENBOER, HEIN P. M. KRAMMER
    Instructional Science, Vol. 16, No. 3 (1987), pp. 251-285
    Topics: Computer programming, Students, Computer science education, Instructional design, Educational strategies, Learning, Working memory, Computer modeling,Outcomes of education, Problem solving

  15.   
    Summit 'Gift Baskets' Seen As Key
    JOURNAL ARTICLE

    Summit 'Gift Baskets' Seen As Key

    Arms Control Today, Vol. 44, No. 4 (MAY 2014), pp. 28-30
    Topics: Treaties, Instructional materials, Meetings, Cybersecurity, Countries,Information technology

  16.   
    Building Foundations for Digital Records Forensics: A Comparative Study of the Concept of Reproduction in Digital Records Management and Digital Forensics
    JOURNAL ARTICLE

    Building Foundations for Digital Records Forensics: A Comparative Study of the Concept of Reproduction in Digital Records Management and Digital Forensics

    The American Archivist, Vol. 74, No. 2 (Fall/Winter 2011), pp. 576-599
    Topics: Electronic records, Digital forensics, Records management, Archival preservation, Archivists, Digital rights management, Imaging, Forensic evidence,Cross cultural studies, Terminology

  17.   
    Professional Life: DEFENDING INTELLECTUAL PROPERTY RIGHTS AND THWARTING CYBER PIRACY
    JOURNAL ARTICLE

    Professional Life: DEFENDING INTELLECTUAL PROPERTY RIGHTS AND THWARTING CYBER PIRACY

    US Black Engineer and Information Technology, Vol. 36, No. 4 (WINTER 2012), pp. 66, 68-73
    Topics: Cybersecurity, Industrial management, Cloud computing, Data security,Computer hacking, Information storage and retrieval systems, Industrial security,Information technology, Business structures, Bachelors degrees

  18.   
    The Resource Discovery Initiative for Field Stations: Enhancing Data Management at North American Biological Field Stations
    JOURNAL ARTICLE

    The Resource Discovery Initiative for Field Stations: Enhancing Data Management at North American Biological Field Stations

    James W. Brunt, William K. Michener
    BioScience, Vol. 59, No. 6 (June 2009), pp. 482-487
    Topics: Databases, Data registries, Long term ecological research, Informatics,Bibliographies, Metadata, United States government publications, Human ecology,Environmental sciences

  19.   
    The Emerging of Teachers' Conceptions of New Subjects Inserted in Mathematics Programs: The Case of Informatics
    JOURNAL ARTICLE

    The Emerging of Teachers' Conceptions of New Subjects Inserted in Mathematics Programs: The Case of Informatics

    Rosa Maria Bottino, Fulvia Furinghetti
    Educational Studies in Mathematics, Vol. 30, No. 2 (Mar., 1996), pp. 109-134
    Topics: Mathematics education, Informatics, Computers in education, Students,Computer technology, Mathematics teachers, Mathematical problems, Computer programming, Secondary school mathematics

  20.   
    NETWORK SECURITY: VULNERABILITIES AND DISCLOSURE POLICY
    JOURNAL ARTICLE

    NETWORK SECURITY: VULNERABILITIES AND DISCLOSURE POLICY

    Jay Pil Choi, Chaim Fershtman, Neil Gandal
    The Journal of Industrial Economics, Vol. 58, No. 4 (December 2010), pp. 868-894
    Topics: Computer software, Consumer economics, Consumer prices, Economic security, Consumer equilibrium, Industrial economics, Publishing industry, Network security, Computer viruses

  21.   
    Information Security Policy Compliance: An Empirical Study of Rationality-Based Beliefs and Information Security Awareness
    JOURNAL ARTICLE

    Information Security Policy Compliance: An Empirical Study of Rationality-Based Beliefs and Information Security Awareness

    Burcu Bulgurcu, Hasan Cavusoglu, Izak Benbasat
    MIS Quarterly, Vol. 34, No. 3 (September 2010), pp. 523-548
    Topics: Compliance costs, Data security, Guideline adherence, Tax noncompliance,Cybersecurity, Information storage and retrieval systems, Employee attitude, Internet service providers, Self efficacy, Employee motivation

  22.   
    LIFE AFTER SARBANES-OXLEY: THE MERGER OF INFORMATION SECURITY AND ACCOUNTABILITY
    JOURNAL ARTICLE

    LIFE AFTER SARBANES-OXLEY: THE MERGER OF INFORMATION SECURITY AND ACCOUNTABILITY

    Bruce H. Nearon, Jon Stanley, Steven W. Teppler, Joseph Burton
    Jurimetrics, Vol. 45, No. 4 (SUMMER 2005), pp. 379-412
    Topics: Financial reporting, Public companies, Internal audits, Information technology, Financial management, Instructional materials, Internal controls,Management reports, Securities and Exchange Commission regulation, Financial accounting

  23.   
    The information systems discipline in Tasmania
    BOOK CHAPTER

    The information systems discipline in Tasmania (pp. 229-258)

    From: The Information Systems Academic Discipline in Australia
    ANU Press (2008)
    OPEN ACCESS
    Topics: Information storage and retrieval systems, Educational research, Curricula,Research methods, College instruction, School campuses, Professionalism, Students,Information technology

  24.   
    Informatics and New Philology
    JOURNAL ARTICLE

    Informatics and New Philology

    Computers and the Humanities, Vol. 24, No. 5/6, Humanities Computing in Italy (Dec., 1990), pp. 339-343
    Topics: Words, Philology, Informatics, Verbs, Computer memory, Syntax,Grammatical clauses, Formalization, Computational linguistics

  25.   
    Buildng a Secure and Sustainable Cyberspace Ecosystem: An Overview
    BOOK CHAPTER

    Building a Secure and Sustainable Cyberspace Ecosystem: An Overview (pp. 1-34)

    From: Advances in Cyber Security: Technology, Operations, and Experiences
    Topics: CyberspaceEcological sustainabilityEcosystemsCybersecurity,InformaticsGreen buildingsSensorsCollaborationCloud computing

    *

    Knovel Library 
    Search for '"computer science" OR "information science" OR "computer programming" OR informatics OR "data management"'
    86 Results


    *

    *

    L

    *

    *

















































































































































































































































































  1. Law.com 

    *

    LearnTechLib 
    13,912 Results



  2. LearnTechLib 
    13,912 Results

    Content Sample

    Games and Machine Learning: A Powerful Combination in an Artificial Intelligence Course
    Scott A. Wallace; Robert McCartney; Ingrid Russell


    Computer Science Education Vol. 20, No. 1 (March 2010) pp. 17–36 


     Project MLeXAI [Machine Learning eXperiences in Artificial Intelligence (AI)] seeks
    to build a set of reusable course curriculum and hands on laboratory projects
    for the artificial intelligence classroom. In this article, we describe two game-based... 

    Early Prediction of Students' Grade Point Averages at Graduation: A Data Mining Approach
    Ahmet Tekin


    Eurasian Journal of Educational Research Vol. 54 (2014) pp. 207–226 


     Problem Statement: There has recently been interest in educational databases containing a variety
    of valuable but sometimes hidden data that can be used to help less successful students to improve
    their academic performance. The extraction of hidden ... 

    Personalization of Student in Course Management Systems on the Basis Using Method of Data Mining
    Martin Magdin; Milan Turcáni


    Turkish Online Journal of Educational Technology Vol. 14, No. 1 (January 2015) pp. 58–67 


     Individualization of learning through ICT [Information and Communication Technology]
    allows to students not only the possibility choose the time and place to study,
    but especially pace adoption of new knowledge on the basis of preferred learning... 

    Content Independence in Multimedia Databases
    Arjen P. de Vries


    Journal of the American Society for Information Science and Technology Vol. 52, No. 11 (2001) pp. 954–60 


     Investigates the role of data management in multimedia digital libraries, and its implications
    for the design of database management systems. Introduces the notions of content abstraction
    and content independence. Proposes a blueprint of a new class ... 

    Data Mining Applications to Online Learning
    Jui-Long Hung; Ke Zhang


     World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education
    2006 (October 2006) pp. 2014–2021 


     This study was intended to pilot the powerful potentials of data mining techniques
    in revealing students online learning behaviors and constructing and testing predictive
    models for online learning management, facilitation and improvement. 17,934... 

    Topics: Behavior, Students

    A Multiagent-Based Learning System in Artificial Intelligence
    Victor R. L. Shen


     World Conference on Educational Media and Technology 2007 (Jun 25, 2007) pp. 3115–3121 


     A Multiagent-Based Learning (MBL) system in Artificial Intelligence (AI) is presented in this paper.
    The authors describe ways of improving the quality of AI (Artificial Intelligence) instruction,
    through the use of agent technology. Library agent,... 

    Topics: Artificial Intelligence, Students, Intelligence

    Implementation of Artificial Intelligence Assessment in Engineering Laboratory Education
    Maria Samarakou; Emmanouil D. Fylladitakis; Pantelis Prentakis; Spyros Athineos


     International Conference e-Learning 2014.
    Multi Conference on Computer Science and Information Systems (July 2014) 


     In laboratory courses, the assessment of exercises and assignments typically is treated as a simple, 

    Educational Data Mining and Problem-Based Learning
    Sari Walldén; Erkki Mäkinen


    Informatics in Education Vol. 13, No. 1 (2014) pp. 141–156 


     This paper considers the use of log data provided by learning management systems
    when studying whether students obey the problem-based learning (PBL) method.
    Log analysis turns out to be a valuable tool in measuring the use of the learning material... 

    Applying artificial intelligence data mining tools to the challenges of program evaluation
    Sharon Epple Beitel


     Applying artificial intelligence data@mining tools to the challenges of program@evaluation (2005) pp. 1–167 


     Educational data warehouses, particularly in this accountability age of No Child Left Behind,
    are replete with a variety data. The data represents a wide range of variables
    (input, output and process). Up until now, educational leaders have not been ... 

    Using E-Portfolios System as an Assessment Management and Data Mining Resource
    Hao Jiang; Jinxin Dai


     Society for Information Technology & Teacher Education International Conference
    2012 (Mar 05, 2012) pp. 3909–3914 


     The nature of E-portfolio system makes it as an effective approach for collecting
    variety types of data from students in universities. There is a large intersection
    among E-Portfolio System, Assessment Management System, and Data Mining System. By... 

    A Packet Sniffer (PSniffer) Application for Network Security in Java
    Otisule Oluwabukola; Awodele Oludele; A.C. Ogbonna; Ajeagbu Chigozirim; Anyeahie Amarachi


     Proceedings of the Informing Science and Information Technology Education Conference
    2013 (Jul 01, 2013) pp. 389–400 


     This paper presents the full implementation of the Psniffer application software
    that captures network data as well as provides sufficient means
    for the decision making process of an administrator. The aim of this application is to rewrite C... 

    A Methodology for Student Performance Prediction Based on Data Mining
    Daniel Victoria Dionicio; Alvaro Ortigosa Juarez; Cesar Vialardi Sacin; Alfredo Barrientos Padilla;
    Jhonny Estrella Palomino


     World Conference on Educational Media and Technology 2010 (Jun 29, 2010) pp. 388–393 


     University students enrolled in certain Academic Program, be it Science or Humanities,
    are free to decide which courses they will take, thus defining their own learning path.
    This paper presents a methodology that can predict the success or failure... 

    Artificial Intelligence in Education: An Exploration
    Geoff Cumming


    Journal of Computer Assisted Learning Vol. 14, No. 4 (1998) pp. 251–59 


     Gives a brief outline of the development of Artificial Intelligence in Education (AIED)
    which includes psychology, education, cognitive science, computer science, and artificial intelligence.
    Highlights include learning environments; learner... 

    Assessment of Robust Learning with Educational Data Mining
    Ryan S. Baker; Albert T. Corbett


    Research & Practice in Assessment Vol. 9 (2014) pp. 38–50 


     Many university leaders and faculty have the goal of promoting learning that connects across
    domains and prepares students with skills for their whole lives. However, as assessment emerges
    in higher education, many assessments focus on knowledge and ... 

    Identifying Students with Evasion Risk Using Data Mining
    Marcio Alencar; Eulanda Santos; José Francisco Netto


     EdMedia: World Conference on Educational Media and Technology 2015 (Jun 22, 2015) pp. 611–616 


     The amount of educational institutions which work with distance learning courses is increasing.
    As a consequence, studies have shown that student dropout rates in this type of educational system
    have also increased. Even though Virtual Learning... 

    Topics: New Roles for Teachers/Learners, Virtual Environments, High Risk, pedagogical issues,
    Architectures for educational technology systems

    Learning Environment With Elements Of Artificial Intelligence
    Pier Rossi


    Journal of e-Learning and Knowledge Society Vol. 5, No. 1 (2009) pp. 191–199 


     The paper describes an innovative approach to implement, on existing LMS platforms,
    e-learning functionalities based on artificial intelligence (AI). The paper illustrates
    the characteristics of a Learning Management System (LMS) in which it is... 

    Analyzing the Students’ Achievements of Taiwan Web-based Mathematics Competition by Data Mining
    Feng-Kuang Chiang; Rainer Knauf; Tai-Cheng Tso


     World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education
    2008 (Nov 17, 2008) pp. 2560–2565 


     Experts from three different fields will cooperate to explore this study, including e-learning
    experts from Taiwan; data mining experts from Canada, and Artificial Intelligence
    experts from Germany. Through this new analysis technique (data mining), ... 

    Project-Based Learning of Computer Programming Using an Artificial Market System
    Masako Okamoto; Hajime Kita; Isao Ono; Daisuke Kiga; Takao Terano; Takashi Yamada; Yusuke Koyama


     World Conference on Educational Media and Technology 2008 (Jun 30, 2008) pp. 4545–4553 


     Computer programming is one of the key issue in teaching computer science, and it requires
    comprehensive ability not only knowledge of programming language. Hence, effective pedagogical
    methods of teaching computer programming are needed. This paper ... 

    Topics: Programming, Computer Sciences, Computers, Learning Objects, Teaching Methods
    Survey of Artificial Intelligence and Expert Systems in Library and Information Science Literature
    Cynthia C. Hsieh; Wendy Hall


    Information Technology and Libraries Vol. 8, No. 2 (1989) pp. 209–14 


     Examines the definition and history of artificial intelligence (AI) and investigates the
    body of literature on AI found in "Library Literature" and "Library and Information Science Abstracts."
    The results reported include the number of articles by... 


    *

    Legal Source

    Results: 22,670


    Content Sample

    Jeff Sessions Scuttles Forensics Partnership With Scientists.

    • News

      By: Reinhard, Beth. Wall Street Journal (Online). 8/7/2017, p1. 1p.



    • 2.




    Artificial
     Intelligence: Not Your Father's Toolbox: Some new artificial intelligence business tools to help park and rec agencies.

    •  

      Periodical

      By: Dysart, Joe. Parks & Recreation. Aug2017, Vol. 52 Issue 8, p72-73. 2p.

      Subjects: EQUIPMENT & supplies; Lexalytics Inc.; QlikTech International AB; Artificial intelligence; Machine learning; Web-based user interfaces; Software analytics -- Evaluation





    • 3.




    Entering the Minds of Serial Murderers: The Application of Forensic Leisure Science to Homicide Research.


    • Academic Journal

      By: Williams, D. J. Leisure Sciences. Jul/Aug2017, Vol. 39 Issue 4, p376-383. 8p. DOI: 10.1080/01490400.2016.1234953.

      Subjects: PSYCHOLOGY; Law enforcement; Leisure; Other Justice, Public Order, and Safety Activities; Police Protection; Serial murderers; Forensic sciences; Homicide; Flow theory (Psychology)





    • 4.




    INFORMATION
     SECURITY: Can't We Talk About Something Else?


    • Periodical

      By: HARDIN, RON. Hospitality Upgrade. Summer2017, p38-40. 2p.

      Subjects: InterContinental Hotels Group PLC; Sabre Corp.; Other Computer Related Services; Computer systems design and related services (except video game design and development); Data security; Data encryption (Computer science); Ransomware






    • 5.





    Economic crises and market performance--A machine learning approach.


    • Academic Journal

      By: Perles-Ribes, José Francisco; Ramón-Rodríguez, Ana Belén; Moreno-Izquierdo, Luis; Sevilla-Jiménez, Martín. Tourism Economics. May2017, Vol. 23 Issue 3, p692-696. 5p. DOI: 10.5367/te.2015.0536.

      Subjects: Tourist attractions; Financial crises; Tourism -- Spain; Machine learning; Econometrics





    • 6.




    Machine
     learning: Honing data 'can sharpen results'.


    • Periodical

      By: Hayhurst, Lee. Travel Weekly (UK). 4/20/2017, Issue 2369, p62-62. 1/3p. 1 Color Photograph.

      Subjects: Tourism -- Congresses; Machine learning -- Congresses; Young, Brian





    • 7.




    A. I. The rise of artificial intelligence

    • Periodical

      By: Geoghegan, Bill. Hospitality Upgrade. Spring2017, p28-30. 2p.

      Subjects: Hospitality industry; Artificial intelligence; Chatbots; Automatic speech recognition; Intelligent personal assistants (Computer software)





    • 8.




    IBM, Salesforce Agree to Partner on Artificial Intelligence.

    • News

      By: Greene, Jay; Greenwald, Ted. Wall Street Journal (Online). 3/7/2017, p1. 1p.




    • 9.





    Dyson hints at using artificial intelligence in future products.

    • Periodical

      By: Dawood, Sarah. Design Week (Online Edition). 2/8/2017, p1-1. 1p. 1 Color Photograph.

      Subjects: Vacuum cleaners; Dyson Ltd.; Commercial and service industry machinery manufacturing; Household Appliance Stores; Household Appliances, Electric Housewares, and Consumer Electronics Merchant Wholesalers; Appliance, television and other electronics stores; Household appliance merchant wholesalers; Small Electrical Appliance Manufacturing; Artificial intelligence; Robotics; Dyson, James, 1947-





    • 10.




    Automation, robots and artificial intelligence: How will they shape the industry?


    • Periodical

      By: Carlino, Nicole. Hotel Business. 2017 Supplement Technology Solutions, p10A-14A. 3p.

      Subjects: Automation; Hospitality industry management; Capitalists & financiers; Robotics; Artificial intelligence; Berkus, Dave

      Add to folder






    • 11.





    Uber in Artificial-Intelligence Drive After Buying Startup.

    • News

      By: Bensinger, Greg; Hern, Daniela. Wall Street Journal (Online). 12/6/2016, p1. 1p.






    • 12.





    MACHINE
     LEARNING IS COMING.


    • Periodical

      By: THUERMER, KAREN E. Food Logistics. Nov/Dec2016, Issue 182, p68-71. 3p.

      Subjects: Supply chains; Food industry -- United States; Beverage industry -- United States; Artificial intelligence; Machine learning; Dulman, Scott







    • 13.





    Physicochemical Data Mining of Msalais, a Traditional Local Wine in Southern Xinjiang of China.


    • Academic Journal

      By: Zhu, Lixia; Wang, Liling; Yang, Wenju; Guo, Dongqi. International Journal of Food Properties. 2016, Vol. 19 Issue 11, p2385-2395. 11p. 4 Charts, 4 Graphs. DOI: 10.1080/10942912.2015.1033549.

      Subjects: Data mining; Quality control; Xinjiang Basin (China); Wine & wine making -- Analysis; Wine & wine making -- Color; Multivariate analysis













    • 14.









    Finding the way forward for 
    forensic science in the US-A commentary on the PCAST report.

    • Periodical

      By: Biesiada, Jamie. Travel Weekly. 10/24/2016, p6-6. 1/2p.

      Subjects: Artificial intelligence; Tourism -- United States





    • 15.




    Pervasive information gathering and data mining for efficient business administration.


    • Academic Journal

      By: Garrigos-Simon, Fernando J; Llorente, Roberto; Morant, Maria; Narangajavana, Yeamduan. Journal of Vacation Marketing. Oct2016, Vol. 22 Issue 4, p295-306. 12p. DOI: 10.1177/1356766715617219.

      Subjects: Data mining; Industrial management; Consumer behavior; Marketing; Marketing Consulting Services; Acquisition of data; Sensor networks


      Cited References: (52)







    • 16.





    Presidential Advisory Council Questions Validity of Forensics in Criminal Trials.

    • News

      By: Fields, Gary; O’Keeffe, Kate. Wall Street Journal (Online). 9/2/2016, p1. 1p.







    • 17.





    Book Review 'Multimedia data mining and analytics: disruptive innovation'.

    • Review

      By: Qi, Shanshan. Information Technology & Tourism. Sep2016, Vol. 16 Issue 3, p321-322. 2p. DOI: 10.1007/s40558-015-0043-y.

      Subjects: Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology); Research and development in the physical, engineering and life sciences; Computer science; Nonfiction; Multimedia Data Mining & Analytics: Disruptive Innovation (Book); Baughman, Aaron; Gao, Jiang; Pan, Jia-Yu; Petrushin, Valery A.







    • 18.





    Predicting online gambling self-exclusion: an analysis of the performance of supervised machine learning models.


    • Academic Journal

      By: Percy, Christian; França, Manoel; Dragičević, Simo; D'avila Garcez, Artur. International Gambling Studies. Aug2016, Vol. 16 Issue 2, p193-210. 18p. DOI: 10.1080/14459795.2016.1151913.

      Subjects: Gambling industry; Compulsive gambling; Internet gambling; Other Gambling Industries; All other gambling industries; Casinos (except Casino Hotels); Machine learning -- Social aspects; Machine learning -- Methodology


      Cited References: (39)








    • 19.





    FSMA REQUIREMENTS CALL FOR BETTER DATA MANAGEMENT

    • Periodical

      By: MARAS, ELLIOT. Food Logistics. Jul2016, Issue 178, p26-31. 5p.

      Subjects: Surveys; Food safety measures laws; United States. Food & Drug Administration; Sparta Systems Inc.; Food law & legislation -- United States





    • 20.




    Forecasting Casino Gaming Traffic with a Data Mining Alternative to Croston's Method.


    • Academic Journal

      By: King, Barry. UNLV Gaming Research & Review Journal. 2016, Vol. 20 Issue 2, p105-118. 14p.

      Subjects: MANAGEMENT; Casinos -- Management; Data mining; Game tables; Databases; Casino Hotels; Casinos (except Casino Hotels); All other gambling industries; Other Gambling Industries; Internet gambling; Prediction models

      Cited References: (10)







    • 21.





    Applying data mining methods to tourist loyalty intentions in the international tourist hotel sector.


    • Academic Journal

      By: Chang, Kuo-Chien; Chen, Mu-Chen; Kuo, Nien-Te; Hsu, Chia-Lin; Cheng, Yi-Sung. Anatolia: An International Journal of Tourism & Hospitality Research. Jun2016, Vol. 27 Issue 2, p271-274. 4p. DOI: 10.1080/13032917.2015.1099554.

      Subjects: RESEARCH; Customer loyalty; Customer loyalty programs; Quality of service; Data mining; Hotels -- United States







    • 22.





    iGaming information security management.


    • Periodical

      Casino International. Jun2016, p62-66. 5p.

      Subjects: Security management; Internet gambling; Gambling industry; Wired Telecommunications Carriers; Internet Publishing and Broadcasting and Web Search Portals; Other Gambling Industries; All other gambling industries; Casinos (except Casino Hotels); Information storage & retrieval systems -- Security measures; Internet security






    • 23.





    Gestión de la auditoría forense ante la necesidad de transparencia del impuesto al hospedaje en Sonora.


    • Academic Journal

      Forensic audit management to the need for transparency of lodging tax in Sonora. By: Carrillo Cisneros, Esthela; Loera Anchondo, Ercilia. Revista Iberoamericana de Turismo. 2016 especial, Vol. 6, p32-47. 16p. Language: Spanish. DOI: 10.2436/20.8070.01.12.





    • 24.





    Google’s New Products Reflect Push Into Machine Learning.

    • News

      By: Nicas, Jack. Wall Street Journal (Online). 5/19/2016, p1. 1p.to folder




    • 25.




    'Artificial intelligence will hit like a meteorite'  

    • Periodical

      By: Taylor, Ian. Travel Weekly (UK). 4/14/2016, Issue 2317, p69-69. 1/4p.



  3. *

    LGBT Life with Full Text 
    603 Results 


    *
  4. Library and Information Science Abstracts
    413,455 results

    CONTENT SAMPLE
  5. 1
    Artificial Intelligence Research in the Second Half Century
    Alternate title: Transliterated title not available.
    Nishida, Toyoaki. Journal of Information Processing and Management55.7 (0, 2012): 461-471. 
    ...processing, planning, hitmachine 
    hitlearning and 
    hitdata 
    hitmining, and amalgam of
     ...hitArtificial 
    hitintelligence research has almost completed its first stage from
    Abstract/Details
     Preview M
    Select result item

    2
    Konferenzberichte: AIME 2005, CMV 2005 and IV05, IEA/AIE 2005.
    [Conference reports: AIME 2005, CMV 2005 and IV05, IEA/AIE 2005.]
    Kaiser, Katharina; Aigner, Wolfgang; Kroll, Mark.
    Osterreichische Gesellschaft fur Artificial Intelligence24.3 (October 2005): 2-14. 
    ...biomedical hitdata 
    hitmining, two workshops, a doctoral consortium for students and 68
     ...hitdata 
    hitmining. The 3rd International conference on coordinated & multiple views
     ...Speech recognition, Image analysis, Computer vosion, Knowledge mamagement, hitdata
    Abstract/Details
     Preview M
    Select result item

    3
    Does machine learning really work?
    Mitchell, T M. AI Magazine18.3 (October 1997): 11-20. 
    ...hitIntelligence. Assess the role of 
    hitmachine 
    hitlearning in: 
    hitdata 
    hitmining,
     ...hitdata 
    hitmining, face recognition, and a self-customizing newsreader. Suggests
    Cited by (‎11)    
    Abstract/Details
    Full text
    Full text - PDF (3 MB)‎
     Preview M
    Select result item

    4
    An Intelligent Network Intrusion Detection System Based on Multi-Modal Support Vector Machines
    Srinivasa, K G. International Journal of Information Security and Privacy7.4 (October 2013): 37-52. 
    ...both personal and professional use has made hitnetwork 
    hitsecurity gain a significant
     ...hitmachine 
    hitlearning techniques. In this paper we present a statistical 
    hitmachine
    Abstract/Details
     Preview M
    Select result item

    5
    Data Mining for Crooks
    Ingebretsen, Mark. IEEE Intelligent Systems; Los Alamitos24.2 (Mar/Apr 2009): 4. 
    ...algorithms, hitmachine 
    hitlearning, and statistical techniques designed to identify
     ...hitArtificial 
    hitIntelligence-based techniques to identify suspects and perform viable
    Abstract/Details
     Preview M
    Select result item

    6
    Terminology in the intersection between informatics (information science) 
    Beling, G; Wersig, G. Proceedings of the meeting of the International Federation for Documentation Committee 'Terminology of Information and Documentation', Moscow, 22-24 May, Moscow, All-Union Institute of Scientific and Technical Information, 1976 1975.s (May 1976). 
    Abstract/Details
     Preview M
    Select result item

    7
    Use of machine learning techniques for educational proposes: a decision support system for forecasting students' grades
    Kotsiantis, S B. Artificial Intelligence Review37.4 (April 2012): 331-344. 
    ...hitmachine 
    hitlearning techniques for educational proposes (or educational 
    hitdata
     ...so on) can be useful for hitmachine 
    hitlearning algorithms. In this article, we cite
    Abstract/Details
    Full text - PDF (463 KB)‎
     Preview M
    Select result item

    8
    Cognition and decision in biomedical artificial intelligence: from symbolic representation to emergence
    Rialle, V. AI and Society9.2 and 3 (0, 1995): 138-160. 
    ...hitintelligence towards 
    hitmachine 
    hitlearning programs and as the result of a
     ...considers the pivotal role played by hitmachine 
    hitlearning. Discusses the historical
     ...in progress on hitartificial 
    hitintelligence in medicine within the larger context
    Abstract/Details
     Preview M
    Select result item

    9
    Summer Calendar of AI Events
    Anonymous. AI Magazine; La Canada27.2 (Summer 2006): 109-111. 
    ...Department of hitComputer 
    hitScience, Department of 
    hitComputer 
    hitScience, DeKaIb, IL
     ...hitComputer 
    hitScience, Bibliothekstr. 1, Bremen 28359 Germany Voice: 004 9421-218
    Abstract/Details
    Full text
    Full text - PDF (215 KB)‎
     Preview M
    Select result item

    10
    Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch
    Zhang, Yingchen; Yang, Rui; Zhang, Kaiqing; Jiang, Huaiguang; Zhang, Jun Jason. IEEE Intelligent Systems; Los Alamitos32.4 (2017): 59-63. 
    Abstract/Details
     Preview M
    Select result item

    11
    Information Science: The Territory and Relations to Computing Disciplines
    Wang, Bing. Journal of Library and Information Science (Taipei)35.1 (April 2009): 4-22. 
    ...technologies and connected to knowledge management and hitdata 
    hitmining. The
     ...of hitinformation 
    hitscience (IS) as a discipline has been a matter of dispute almost
     ...differences between IS, hitcomputer 
    hitscience, information systems, and information
    Abstract/Details
     Preview M
    Select result item

    12
    A new approach of clustering based machine-learning algorithm.
    Al-Omary, Alauddin Yousif; Jamil, Mohammad Shahid. Knowledge-Based Systems19.4 (August 2006): 248-258. 
    ...hitMachine-
    hitlearning research is to study and apply the computer modeling of
     ...a clustering based hitmachine-
    hitlearning algorithm called clustering algorithm
     ...heuristics to facilitate hitmachine-
    hitlearning authors to boost up their research
    Cited by (‎1)    References (‎28)    
    Abstract/Details
     Preview M
    Select result item

    13
    Bi-decomposition of function sets in multiple-valued logic for circuit design and data mining
    Lang, Christian; Steinbach, Bernd. Artificial Intelligence Review20.3-4 (December 2003): 233-267. 
    ...functions are applied in logic design of multi-valued circuits and hitmachine
     ...representation. For hitmachine 
    hitlearning, gates are selected to represent simple
     ...YADE. MVL test functions from logic synthesis and hitmachine 
    hitlearning applications
    Abstract/Details
    Full text - PDF (234 KB)‎
     Preview M
    Select result item

    14
    Winter Calendar of AI Events
    Anonymous. AI Magazine; La Canada27.4 (Winter 2006): 113,116-117. 
    ... University of Windsor, School of hitComputer 
    hitScience, 401 Sunset Ave, Windsor, ON
     ...and hitComputer 
    hitScience, Highfield Campus, Southampton SO17 1BJ United Kingdom
     ... University of Wales Aberystwyth, Dept of hitComputer 
    hitScience
    Abstract/Details
    Full text
    Full text - PDF (195 KB)‎
     Preview M
    Select result item

    15
    Improving polarity classification of bilingual parallel corpora combining
    machine learning and semantic orientation approaches
    Perea-Ortega, José M; Martín-Valdivia, M Teresa; Ureña-López, L Alfonso;
    Martínez-Cámara, Eugenio.
    Journal of the American Society for Information Science and Technology;
    Hoboken64.9 (Sep 2013): 1864. 
    ...There are two main approaches to carrying out polarity classification: hitmachine
     ...method slightly improves the best results obtained using hitmachine 
    hitlearning
    Cited by (‎2)    


  6. *

    Library, Information Science & Technology Abstracts 

    Results: 73,368


  1. CONTENT SAMPLE


    • Post, Mine, Repeat: social media data mining becomes ordinary.


      Review

      By: Gerrard, Ysabel. Information, Communication & Society. 2017, Vol. 20 Issue 12, p1817-1820. 4p. DOI: 10.1080/1369118X.2017.1364781.

      Subjects: Data mining; Nonfiction; Post, Mine, Repeat: social media data mining becomes ordinary (Book); Kennedy, HelenAdd to folder

      Cited References: (12)




    • 2.




      Creating caring institutions for community informatics.


      Academic Journal

      By: Sweeney, Miriam E.; Rhinesmith, Colin. Information, Communication & Society. Oct2017, Vol. 20 Issue 10, p1482-1497. 16p. DOI: 10.1080/1369118X.2016.1234635.

      Subjects: Community informatics; Feminist ethics; Techno culture; Communities; Gender


      Cited References: (48)



    • 3.




      Using Eye Tracking as a Tool to Teach Informatics Students the Importance of User Centered Design.


      Academic Journal

      By: Gelderblom, Helene; Adebesin, Funmi; Brosens, Jacques; Kruger, Rendani. International Journal of Information & Communication Technology Education. Oct-Dec2017, Vol. 13 Issue 4, p111-125. 15p. DOI: 10.4018/IJICTE.2017100109.

      Subjects: Human-computer interaction; Information science education; Eye tracking; Student assignments; User-centered system design


      Cited References: (27)




    • 4.





      Data
       mining with R: learning with case studies. 2nd ed.



      By: Bharath, R. Choice: Current Reviews for Academic Libraries. Sep2017, Vol. 55 Issue 1, p95-96. 2p.

      Subjects: Data mining; Nonfiction; Data Mining With R: Learning With Case Studies (Book); Torgo, Luis





    • 5.




      Can Machine Learning Help Fight Fake News?
       By: KOMPELLA, KASHYAP. EContent. Sep/Oct2017, Vol. 40 Issue 5, p40-40. 1p.




    • 6.




      A Two-Stage Machine learning approach for temporally-robust text classification.

      Detail Only Available

      By: Salles, Thiago; Rocha, Leonardo; Mourão, Fernando; Gonçalves, Marcos; Viegas, Felipe; Jr.Meira, Wagner. Information Systems. Sep2017, Vol. 69, p40-58. 19p. DOI: 10.1016/j.is.2017.04.004.

      Subjects: Machine learning; Classification; Information retrieval; Computer algorithms; Robust control







    • 7.




      Health informatics: The ownership and use of mobile medical applications among Egyptian patients


      By: Mansour, Essam. Journal of Librarianship & Information Science. Sep2017, Vol. 49 Issue 3, p335-355. 21p. DOI: 10.1177/0961000616637669.

      Subjects: Medical informatics; Mobile apps; Egypt; Psychological ownership; Secondary education


      Cited References: (61)




    • 8.




      Pragmatic (trial) informatics: a perspective from the NIH Health Care Systems Research Collaboratory.



      By: Richesson, Rachel L.; Green, Beverly B.; Laws, Reesa; Puro, Jon; Kahn, Michael G.; Bauck, Alan; Smerek, Michelle; Van Eaton, Erik G.; Zozus, Meredith; Hammond, W. Ed; Stephens, Kari A.; Simon, Greg E. Journal of the American Medical Informatics Association. Sep2017, Vol. 24 Issue 5, p996-1001. 6p. DOI: 10.1093/jamia/ocx016.

      Subjects: Electronic health records; Medical informaticsData entry; National Institutes of Health (U.S.); Clinical trials






    • 9.




      Developments in Research Data Management in Academic Libraries: Towards an Understanding of Research Data Service Maturity.



      By: Cox, Andrew M.; Kennan, Mary Anne; Lyon, Liz; Pinfield, Stephen. Journal of the Association for Information Science & Technology. Sep2017, Vol. 68 Issue 9, p2182-2199. 18p.

      Subjects: Library education; Database management; Questionnaires; Research; Surveys; Technical services (Libraries); Australia; Europe; Great Britain; New Zealand; United States; Academic libraries -- United States; Academic libraries -- Great Britain; Academic libraries -- Australia; Academic libraries -- Europe; Academic libraries -- New Zealand






    • 10.




      Artificial
       Intelligence: Building Smarter Machines.


      By: Lewis, Courtney. School Library Journal. Sep2017, Vol. 63 Issue 9, p170-172. 2p.





    • 11.




      Mapping the evolution of library and information science (1978-2014) using topic modeling on LISA.


      Academic Journal

      By: Figuerola, Carlos; García Marco, Francisco; Pinto, María. Scientometrics. Sep2017, Vol. 112 Issue 3, p1507-1535. 29p. DOI: 10.1007/s11192-017-2432-9.

      Subjects: Library scienceInformation science; Bibliometrics; Bibliographical citations; Databases





    • 12.




      Machine
       Learning: New and Collected Stories.

      Review

      Publishers Weekly. 8/28/2017, Vol. 264 Issue 35, p110-111. 2p.

      Subjects: Science fiction; Fiction; Machine Learning: New & Collected Stories (Book); Howey, Hugh, 1975-





    • 13.




      When Science Sheds Light on History: Forensic Science and Anthropology


      Publishers Weekly. 8/28/2017, Vol. 264 Issue 35, p122-123. 2p.

      Subjects: Nonfiction; Forensic sciences; Anthropology; When Science Sheds Light on History: Forensic Science & Anthropology (Book); Charlier, Philippe; Alliot, David


    • 14.

      Jeff Sessions Scuttles Forensics Partnership With Scientists.


      By: Reinhard, Beth. Wall Street Journal (Online). 8/7/2017, p1. 1p.
       




    • 15.




      Artificial
       Intelligence: Building Smarter Machines.

       
      By: Lock, Anita. Booklist. Aug2017, Vol. 113 Issue 22, p47-47. 1/9p.

      Subjects: Artificial intelligence; Nonfiction; Artificial intelligence: Building Smarter Machines (Book); McPherson, Stephanie Sammartino





    • 16.




      Principles of computer science.



      By: Knee, M. Choice: Current Reviews for Academic Libraries. Aug2017, Vol. 54 Issue 12, p1792-1794. 2p.

      Subjects: Computer science; Nonfiction; Principles of Computer Science (Book); Frarceschetti, Donald R.





    • 17.




      Boundary objects in information science 

      By: Huvila, Isto; Anderson, Theresa Dirndorfer; Jansen, Eva Hourihan; McKenzie, Pam; Worrall, Adam. Journal of the Association for Information Science & Technology. Aug2017, Vol. 68 Issue 8, p1807-1822. 16p. DOI: 10.1002/asi.23817.

      Subjects: Classification of books; Conceptual structures (Information theory); Information science; Library science







    • 18.






      MACHINE
       LEARNING.


      Review

      Kirkus Reviews. 8/1/2017, Vol. 85 Issue 15, p357-357. 1p.

      Subjects: Machine learning; Fiction; Machine Learning (Book : Howey); Howey, Hugh, 1975-





    • 19.




      Life 3.0: Being Human in the Age of Artificial Intelligence.


      Review

      Publishers Weekly. 7/10/2017, Vol. 264 Issue 28, p78-78. 1/5p.

      Subjects: Artificial intelligence; Nonfiction; LIFE 3.0: Being Human in the Age of Artificial Intelligence (Book); Tegmark, Max





    • 20.




      Photo forensics.


      Review

      By: Tappert, C. Choice: Current Reviews for Academic Libraries. Jul2017, Vol. 54 Issue 11, p1667-1667. 1/5p.

      Subjects: Nonfiction; Handworked photography; Photograph retouching; Photo forensics (Book); Farid, Hany





    • 21.




      Introduction to forensic psychology: essentials for law enforcement.


      Review

      By: Osborne, R. E. Choice: Current Reviews for Academic Libraries. Jul2017, Vol. 54 Issue 11, p1709-1709. 1/5p.

      Subjects: Nonfiction; Forensic psychology; Introduction to Forensic Psychology: Essentials for Law Enforcement (Book); Scott-Snyder, Stephanie






    • 22.




      Privacy standards failure for trust's health data and artificial intelligence innovation

      Academic Journal

      CILIP Update. Jul/Aug2017, p17-17. 1/3p.

      Subjects: Privacy; Medical ethics





    • 23.




      Presence of the Iranian Library and the Information Science Departments in ResearchGate.

      Detail Only Available

      Academic Journal

      By: Asnafi, Amir Raza. DESIDOC Journal of Library & Information Technology. Jul2017, Vol. 37 Issue 4, p259-263. 5p. DOI: 10.14429/djlit.37.4.10561.

      Subjects: Information science libraries; Iran; College students; Social networks; Medical sciences





    • 24.





      Use of Mobile Devices by Library and Information Science Students in Central Universities of Uttar Pradesh.

      Detail Only Available

      Academic Journal

      By: Sharma, Rajul; Madhusudhan, Margam. DESIDOC Journal of Library & Information Technology. Jul2017, Vol. 37 Issue 4, p293-302. 10p. DOI: 10.14429/djlit.37.4.11505.

      Subjects: Information science education; Internet in education; Uttar Pradesh (India); Central University; Smartphones





    • 25.





      machine learning approach for result caching in web search engines.

      Detail Only Available

      Academic Journal

      By: Kucukyilmaz, Tayfun; Cambazoglu, B. Barla; Aykanat, Cevdet; Baeza-Yates, Ricardo. Information Processing & Management. Jul2017, Vol. 53 Issue 4, p834-850. 17p. DOI: 10.1016/j.ipm.2017.02.006.

      Subjects: Web search engines; Machine learning; Cache memory; Access control; Software measurement




    *

    Literature Online (LION)
    3,151 Results

    *

    Literature Resource Center
    2050 Results


    *

    Lynda.com




"computer science" OR "information science" OR "computer programming"
OR informatics OR "data management" OR "information security" OR
"network security" OR forensics OR "visual computing" OR "data mining" OR
"machine learning" OR "multimedia databases" OR "artificial intelligence"






This is the Google Search

("computer science" OR "information science" OR
"computer programming" OR informatics OR
"data management" OR "information security"
OR "network security" OR forensics OR
"visual computing" OR "data mining" OR
 "machine learning" OR "multimedia databases"
OR "artificial intelligence"
) AND SITE: LYNDA


About 541,000 results


http://tinyurl.com/y9ky63rd

Content Sample for Search Results


Machine learning - Lynda.com

Aug 15, 2016 - Learn what machine learning is by defining foundational concepts ... Machine learning: Data Science & Analytics, Career Paths & Certifications: First Steps ... view course page for Data Science Foundations: Fundamentals.

Computer Science Principles: Programming - Lynda.com

Nov 28, 2016 - Welcome: Computer Science Principles: Programming. Preview This ... view course pagefor Computer Science Principles Lab: Java. Preview ...

Programming Foundations - Online Courses, Classes ... - Lynda.com

Get a practical introduction to computer science concepts and take your .... This course covers the first part of the AP Computer Science Principles exam. 1h 10m ...

Learning Computer Forensics - Lynda.com

Aug 20, 2014 - Computer forensics is used to find legal evidence in computers or ... Although this course won't teach you how to become a digital forensics detective, it will ... view course page for Small Office Networking to Connect, Share, ...

Become an IT Security Specialist - Learning Path - Lynda.com

IT Security Foundations: Network Security with Lisa Bock. Learn how to secure an organization's network—keeping your interconnected systems and data ...

Machine Learning & AI Foundations: Value Estimations - Lynda.com

Mar 22, 2017 - For example, a website can determine how much a house is worth ... In this project-based course, discover how to use machine learning to ...

Data Science Foundations: Data Mining - Lynda.com

Sep 6, 2016 - This introduction covers data mining techniques such as data reduction, clustering, association analysis, and more, with data mining tools like R and Python. ... view course page for Data Science Foundations: Fundamentals.

Artificial intelligence that works - Lynda.com

Sep 30, 2010 - Join Deke McClelland for an in-depth discussion in this video Artificial intelligence that works, part of Photoshop CS5 One-on-One: Mastery.

Introduction to machine learning - Lynda.com

Apr 10, 2017 - This video provides an introduction to machine learning. ... Introduction to machine learning: Python for Data Science Essential Training. Preview This Course .... view course page for Python: Data Analysis. Preview course ...

Machine Learning & AI Foundations: Recommendations - Lynda.com

Apr 10, 2017 - Machine Learning & AI Foundations: Recommendations ... Recommendation systems are a key part of almost every modern consumer website.

Searches related to ("computer science" OR "information science" OR "computer programming" OR informatics OR "data management" OR "information security" OR "network security" OR forensics OR "visual computing" OR "data mining" OR "machine learning" OR "multimedia databases" OR "artificial intelligence") AND SITE: LYNDA



  1. David Dillard


     

    NET-GOLD

    http://groups.yahoo.com/group/net-gold

    https://groups.io/org/groupsio/net-gold/archives

    http://net-gold.3172864.n2.nabble.com/

     

    Research Guides

    https://sites.google.com/site/researchguidesonsites/

     

     

    Research Paper Writing

    https://sites.google.com/site/howtowriteasuperresearchpaper/

    https://sites.google.com/site/employmentsources/

    Internships

    https://sites.google.com/site/internshipsarticles/

    Hospitality

    https://sites.google.com/site/hospitalitydatabasesandtools/
    Disabilities And Employment

    https://sites.google.com/site/disabilitynetsources/Home/employment-and-disabilities

    Indoor Gardening

    https://groups.yahoo.com/neo/groups/indoorgardeningurban/info

    Educator-Gold

    http://groups.yahoo.com/group/educator-gold/

    K12ADMINLIFE

    http://groups.yahoo.com/group/k12adminlife/

     

    Public Health Resources Including Ebola

     

    Blog

    https://educatorgold.wordpress.com/

     

    Research Guide:

    Information Literacy

    http://tinyurl.com/78a4shn

     

    Twitter: davidpdillard

     

    Bushell, R. & Sheldon, P. (Eds),

    Wellness and Tourism: Mind, Body, Spirit,

    Place, New York: Cognizant Communication Books.

    Wellness Tourism: Bibliographic and Webliographic Essay

    David P. Dillard

    http://tinyurl.com/p63whl

     

    Railtram Discussion Group

    from the union pacific to britrail and beyond

    https://groups.yahoo.com/neo/groups/railtram/info

     

    Indoor Gardening

    improve your chances for indoor gardening success

    http://tech.groups.yahoo.com/group/indoorgardeningurban/

     

    Sport-Med

    https://www.jiscmail.ac.uk/lists/sport-med.html

    http://groups.yahoo.com/group/sports-med/

     

    Health Diet Fitness Recreation Sports Tourism

    https://groups.yahoo.com/neo/groups/healthrecsport/info

     

     

     

     

     

     

    .

     

    .

     

    Please Ignore All Links to JIGLU

    in search results for Net-Gold and related lists.

    The Net-Gold relationship with JIGLU has

    been terminated by JIGLU and these are dead links.

    http://groups.yahoo.com/group/Net-Gold/message/30664

    http://health.groups.yahoo.com/group/healthrecsport/message/145


    .

     

    .

     





Comments