Publications


PUBLICATION DETAILS (Journals/Conferences/Book Chapters)

2022 (Ongoing)

  1. Manjunatha, S., & Patil, M. M. (2022), Resampling Features Extraction using Correlation Aware Convolution Neural Networks for Tampering Detection, International Journal of Electrical & Computer Engineering. (SCOPUS)

  2. Kaddi, S. S., & Patil, M. M. (2022, in press). Forecasting the survival rate of breast cancer patients using supervised learning method., presented at International conference on Intelligent engineering approach, held on 12-02-2021, at SLN college of engg, Raichur, published in Global Transitions Proceedings(available online on April 3, 2022)(ELSEVIER)

  3. Swarna K., & Patil, M. M. (2022, in press). Summarization Tool for Multimedia Data presented at International conference on Intelligent engineering approach, held on 12-02-2021, at SLN college of engg, Raichur, published in Global Transitions Proceedings(available online on April 3, 2022). (ELSEVIER)

  4. Manjunatha, S., & Patil, M. M. (2022, January). Efficient resampling features and convolution neural network model for image forgery detection, Indonesian Journal of electrical engineering and computer science, 25(8), 183-191. (SCOPUS)

  5. Patil, M. M., Rekha, P. M., Solanki, A., Nayyar, A., & Qureshi, B. (2022, January)). Big Data Analytics Using Swarm-Based Long Short-Term Memory for Temperature Forecasting. CMC-COMPUTERS MATERIALS & CONTINUA, 71(2), 2347-2361. (SCI/WEB OF SCIENCE/SCOPUS)


2021

  1. Hiremath, B. N., & Patil, M. M. (2021). Sarcasm Detection using Cognitive Features of Visual Data by Learning Model. Expert Systems with Applications, 184, 115476. (WEB of Science and Scopus)

  2. Anitha, P., & Patil, M. M. (2021, July). Forecasting of Transportation cost for Logistics data. In 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (pp. 01-06). IEEE.(SCOPUS)

  3. Patil, M. M. (2021, July). Study of Learners Behaviour in virtual learning environment using Process Mining. In 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (pp. 1-6). IEEE. (SCOPUS).

  4. Manjunatha, S., & Patil, M. M. (2021). Tampering Detection using Resampling Features and Convolution Neural Networks. Turkish Journal of Computer and Mathematics Education, 12(11), 2791- 2800.

  5. Manjunatha, S., & Patil, M. M. (2021, February). Deep learning-based Technique for Image Tamper Detection. In 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) (pp. 1278-1285). IEEE. (SCOPUS).

  6. Hiremath, B. N., & Patil, M. M. (2021). Analysis of voice cues in recognition of sarcasm. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 14(4), 1256- 1270. (SCOPUS).

  7. Kadagadkai, S., Sahana, V., & Patil, M. M. (1979). Consumer Purchase Patterns using File Structures.

  8. Anitha, P., Patil, M. M., & Venkatapur, R. B. (2021). COVID-19 effect on supply and demand of essential commodities using the unsupervised learning method. Journal of The Institution of Engineers (India): Series B, 102(6), 1311-1317. (SCOPUS)

2020

  1. Kaddi, S. S., & Patil, M. M. (2020). Challenges and Trends in Clinical Data Analytics. Technology, 5(04).

  2. Hiremath, B. N., & Patil, M. M. (2020). Enhancing optimized personalized therapy in clinical decision support system using natural language processing. Journal of King Saud University-Computer and Information Sciences. (WEB of Science and Scopus ).

  3. Patil, M., Sharma, N., & Dinakar, B. R. (2020). Sports Data Analytics: A Case Study of off-Field Behavior of Players. In Data Management, Analytics and Innovation (pp. 267-279). Springer, Singapore.

  4. Kadagadkai, S., Sahana, V., & Patil, M. M. (2020). Consumer Purchase Patterns using File Structures.

2019

  1. Anitha, P., & Patil, M. M. (2019). RFM model for customer purchase behavior using K-Means algorithm. Journal of King Saud University-Computer and Information Sciences. (Web of Science and Scopus).

  2. Book Chapter entitled “Defect Tracking” is published in Book Series: Instant Approach to Software Testing Principles, Applications, Techniques and Practices, (2019) BPB Publications, India.

  3. Sharma, N., Patil, M. M., & Shamkuwar, M. (2019). Why big data and what is it? Basic to advanced big data journey for the medical industry. In Internet of things in biomedical engineering (pp. 189-212). Academic Press. (Elsevier).

  4. Patil, M. M. (2019). Handling concept drift in data streams by using drift detection methods. In Data Management, Analytics and Innovation (pp. 155-166). Springer, Singapore. (SCOPUS).

  5. Hiremath, B. N., & Patil, M. M. (2019). Analysis of speech in human communication, Journal of Computer Science and Software Testing (pp. 8-16), 5(2). (SCOPUS)

2018

  1. Anitha, P., & Patil, M. M. (2018). A review on data analytics for supply chain management: a case study. International Journal of Information Engineering and Electronic Business, 10(5), 30.

  2. Patil, M. M., & Priyadarshi, A. (2018). Understanding MOA framework to Evaluate Recommender Systems. Automation and Autonomous Systems, 10(6), 105-110.

  3. Patil, M. S. M. M. (2018). Interpolation Techniques in Image Resampling. Int. J. Eng. Technol, 7(3.34), 567-570. (SCOPUS.

  4. Patil, M. M., & Hiremath, B. N. (2018). A systematic study of data wrangling. Int. J. Inf. Technol. Comput. Sci. (IJITCS), 1, 32-39.


2017

  1. Manjunatha, S., & Patil, M. M. (2017). A survey on image forgery detection techniques. Digital Image Processing, 9(5), 103-108.

  2. Hiremath, B. N., & Patil, M. M. (2017). A Comprehensive Study of Text Analytics. Artificial Intelligent Systems and Machine Learning, 9(4), 70-76.

  3. Kaddi, S. S., & Patil, M. M. (2017, August). Pharma data analytics: An emerging trend. In 2017 International Conference on Smart Technologies For Smart Nation (SmartTechCon) (pp. 1307-1311). IEEE.(WOS/SCOPUS)

2016

  1. Srimani, P. K., & Patil, M. M. (2016). Mining data streams with concept drift in massive online analysis frame work. WSEAS Trans. Comput, 6, 133-142.

  2. Anitha P. & Patil, M. M. (2016). Survey on water marking methods for security of cloud data, INTERNATIONAL JOURNAL OF ADVANCE RESEARCH IN SCIENCE AND ENGINEERING, 5(1), 556-564.

2015

  1. Patil, M. M. (2015). A Comprehensive study of Recommender systems, International Journal of Applied Engineering Research 86(10), 332-337.

  2. Srimani, P. K., & Patil, M. M. (2015). Performance analysis of Hoeffding trees in data streams by using massive online analysis framework. International Journal of Data Mining, Modelling and Management, 7(4), 293-313. (WOS/SCOPUS)

  3. Patil, M. M. (2015). Challenges and issues in Handling Big Data, International Journal of innovations and advancement in computer Science 4(1), 620-625.

  4. Srimani, P. K., & Patil, M. M. (2015). Outlier Mining in Data Streams Using Massive Online Analysis Framework. International Journal of Conceptions on Computing and Information Technology, 3, 33-36.

  5. Srimani, P. K. (2015). Frequent Item set Mining using INC_MINE in Massive Online Analysis Framework. Procedia Computer Science, 45, 133-142. (SCOPUS)

2014

  1. Srimani, P. K., & Patil, M. M. (2014). Regression model using instance-based learning streams. Indian Journal of Science and Technology, 7(6), 864.

  2. Srimani, P. K., & Patil, M. M. Massive data mining using Bayesian approach. International Journal of Conceptions on Computing and Information Technology, 2(4), 27-32.

  3. Srimani, P. K., & Patil, M. M(2014). Performance of clustering evaluation measures in Massive Online Analysis Framework. European Jouranl of scientific Research, 117(4), 556-567.

  4. Srimani, P. K., & Patil, M. M(2014). Regression Model for Edu-data in technical education system:A Linear Approach. ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India-Vol II, 785-793

2013

  1. Srimani, P. K., & Patil, M. M. (2013). Linear Regression Model for Edudata. International Journal of Conceptions on Electrical and Electronics Engineering,1(1), 45-49

  2. Srimani, P. K., & Patil, M. M. (2013). Regression modeling on EDU-DATA in technical education system (TES). International Journal of Advanced Scientific and Technical Research, 1(3), 320-336.

  3. Srimani, P. K., & Patil, M. M. (2013). Knowledge Discovery in Data Mining and Massive Data- mining International Journal of Emerging. Technologies in Computational and. Applied Sciences,1(5), 339-344.

  4. Srimani, P. K., & Patil, M. M. (2013). Comparative study of DM and MDM International Journal of Conceptions on Computing and Information Technology, 1(1), 42-46.

2012

  1. Srimani, P. K., & Patil, M. M. (2012). MASSIVE DATA MINING(MDM) ON DATA STREAMS USING CLASSIFICATION ALGORITHMS. International Journal of Engineering Science and Technology, 4(6).

  2. Srimani, P. K., Patil, M. M., & Srivatsa, P. K. (2012). Performance evaluation of classifiers for Edu-data: an integrated approach. International Journal of Current Research, 4(2), 183-190.

  3. Srimani, P. K., & Patil, M. M. M. (2012). Linear regression model for Edu-Mining in TES. Paul Bharath Bhushan Petlu Chaylasy Gnophanxay, 60.

  4. Srimani, P. K., & Patil, M. M. (2012). Simple Perceptron Model (SPM) on evolving streams in MDM. International Journal of Neural Networks (IJNN), 2(1), 20-24.

  5. Srimani, P. K., & Patil, M. M. (2012, January). A classification model for edu-mining. In PSRC-ICICS Conference Proceedings (pp. 35-40).

  6. Srimani, P. K., & Patil, M. M. (2012). A comparative study of classifiers for student module in technical education system (TES). International Journal of Current Research, 4(1), 249-254.


2011

  1. Participated and presented the paper entitled "EDU-MINIG: A Machine Learning Approach" in International Conference of Methods and Models in Science & Tech– 11, Jaipur, Rajasthan, India held on 19th and 20th, November 2011, Paper published in International Library of Congress & American Institute of Physics, New York, USA. ISBN: 978-0-7354-0991-0, AIP Conf. Proc. 1414, pp. 61-66; doi:10.1063/1.3669932.

2010

  1. Presented paper entitled Chaos Based Biometric Template Protection Scheme" in Third International conference on Machine Vision held on 28th to 30th December, 2010, at Hong Kong.

  2. Participated and presented the paper entitled "Data Stream Mining using Landmark Stream Model for Offline Data Streams: A case study of health care unit " at the INDIACom-2010: Computing For Nation Development, held on 25th and 26th February 2010 organized by Bharati Vidyapeeth’s Institute of Computer Applications and Management, New Delhi.

  3. Participated and presented the paper entitled "Data Mapping Strategy for Implementation of Algorithms for Data Streams" at the IEEE sponsored International Conference on convergence of science and engineering in education and research: A global perspective in the new millennium. ICSE – 2010 held from 21st to 23rd April 2010, at Dayanand Sagar Institutions, Bengaluru.