North Miami Beach, Florida, USA, May 16-19, 2021

FLAIRS-34

Neural Networks and Data Mining Special Track

Paper submission deadline: February 16, 2021

Notifications: March 16, 2021

Camera ready version due: April 5, 2021


What is the GOAL of the track?

This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas.

Who might be interested?

Papers and contributions are encouraged for any work related to Neural Networks and Data Mining.

What kind of studies will be of interest?

This special track will be devoted to neural networks and data mining with the aim of presenting new and important contributions in these areas. Papers and contributions are encouraged for any work related to neural networks, data mining, or the intersection thereof. Topics of interest may include (but are in no way limited to):

1. Applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy.

2. Algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy LogicApplications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy.

3. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches.

4. Feature extraction and selection.

5. Post-processing techniques such as visualization, summarization, or trending.

6. Preprocessing and data reduction.

7. Knowledge engineering or warehousing.

Papers dealing with Cloud-based unstructured data or Cloud-based tool suites, such as Mahout or Apache Spark, are also encouraged.


Submission Guidelines

Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines (https://www.flairs-34.info/call-for-papers) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.)

FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers elsewhere during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission.

Conference Proceedings

Papers will be refereed and all accepted papers will appear in the conference proceedings.

Program committee:


Track Co-Chairs:

David Bisant, Central Security Svcs, bisant@umbc.edu

Steven Gutstein, Army Research Laboratory, s.m.gutstein@gmail.com

William Eberle, Tennessee Tech University, weberle@tntech.edu


Program Committee Members:


Martin Atzmueller (University of Kassel, Germany)

Juan Banda (Montana State University, USA)

Lori Bogren (Verizon Business Solutions, USA)

Diane Cook (Washington State University, USA )

Sergei Dolenko (D.V.Skobeltsyn Institute of Nuclear Physics, M.V.Lomonosov Moscow State University, Russian Federation)

Yoni Fridman (Verizon Business Solutions, USA)


Olac Fuentes (University of Texas at El Paso, USA)

Hyoil Han (Marshall University, USA)

Lawrence Holder (Washington State University, USA)

Sheikh Rabiul Islam (University of Hartford, USA)


Mike James (iProgrammer, United Kingdom)

Jacek Kukluk (Dana-Farber/Harvard Cancer Center, USA)

Katrina Kutchko (Verizon Business Solutions, USA)

Lenin Mookiah (Samsung Research America, USA)

Eduardo Morales (NIAOE, Mexico)

Jeff Pittges (Radford University, USA)

Roberto Santana (University of Basque Country, Spain)

Douglas Talbert (Tennessee Tech University, USA)

Hujun Yin (University of Manchester, UK)

Further Information

Questions regarding the Data Mining Special Track should be addressed to the track co-chairs:

David Bisant, Central Security Svcs, bisant@umbc.edu

Steven Gutstein, Army Research Laboratory, s.m.gutstein@gmail.com

William Eberle, Tennessee Tech University, weberle@tntech.edu

Questions regarding Special Tracks should be addressed to D. Michael Franklin at dfrank15@kennesaw.edu

Invited Speakers

To be announced

Conference Web Sites

Paper submission site: https://www.flairs-34.info/submissions-easychair

FLAIRS-34 conference web page: https://www.flairs-34.info/

Florida AI Research Society (FLAIRS): https://www.flairs.com