Dr.Shomona Gracia Jacob Associate Professor CSE SSN College of Engineering, Kalavakkam, Chennai. LIST OF PUBLICATIONS International Journals (SCI Thomson Reuters Indexed) 1. Ramani RG, Jacob SG, HIV1-Human Protein-Protein Interaction Prediction (HHPPIP) Methodology: An FP-Growth Based Association Rule Mining Approach, Current Bioinformatics( Impact Factor:1.726), Vol.10(4), 441-455 ISSN: 2212-392X (Online) ISSN: 1574-8936 (Print) 2. Shomona Gracia Jacob, R.Geetha Ramani, Software Defect Prediction in Large Space Systems through Hybrid Feature Selection and Classification, International Arab Journal of Information Technology,(Impact Factor:0.37) (In Press).ISSN:1683-3198 (print), ISSN:2309-4524 (Online) In Press. 3. R.G.Ramani, Revathy P, Jacob SG, Prediction of Users Webpage Access Behaviour Using Association Rule Mining, Sadhana- Academy Proceedings in Engineering Sciences,(Impact Factor:0.476), ISSN: 0256-2499 (print version)issn: 0973-7677 (electronic version), In Press. 4. Shomona Gracia Jacob, R.Geetha Ramani, Prediction of Rescue Mutants to Restore Functional Activity of Tumor Protein TP53 through Data Mining Technique, Journal of Scientific and Industrial Research (Impact Factor:0.500), 74(3), pp.135-140, 2015. ISSN: 0975-1084 (Online) ; 0022-4456 (Print) 5. R.Geetha Ramani, Shomona Gracia Jacob, Prediction of Cancer Rescue p53 Mutants In Silico Using Naïve Bayes Learning Methodology, Protein & Peptide Letters (Impact Factor:1.545), 20(11), pp. 1280-1291, ISSN: 0929-8665. 6. Ramani RG, Jacob SG (2013) Improved Classification of Lung Cancer Tumors Based on Structural and Physicochemical Properties of Proteins Using Data Mining Models. PLoS ONE (Impact factor:4.537) 8(3): e58772. doi:10.1371/journal.pone.0058772, ISSN: 1932-6203. 7. Geetha Ramani R, Jacob SG (2013) Prediction of P53 Mutants (Multiple Sites) Transcriptional Activity Based on Structural (2D&3D) Properties. PLoS ONE(Impact factor:4.537) 8(2): e55401. doi:10.1371/journal.pone.0055401, ISSN: 1932-6203.
8. R. Geetha Ramani, Shomona Gracia Jacob, Benchmarking Classification Models for Cancer Prediction from Gene Expression Data: A Novel Approach and New Findings,Studies in Informatics and Control(Impact factor:0.587), ISSN 1220-1766, vol. 22 (2), pp. 133-142, 2013. 9. Jacob Shomona Gracia, Ramani Geetha R, Design and Implementation of a clinical data classifier: A Supervised learning approach, Res. J. Biotech (Impact factor:0.143), 8(2), pp.16-26, 2013, ISSN:1932-6203. Other Peer-Reviewed International Journals 10. Kalai Magal. R and Shomona Gracia Jacob. Article: Improved Random Forest Algorithm for Software Defect Prediction through Data Mining Techniques. International Journal of Computer Applications 117(23):18-22, May 2015. 11. Lakshmi Priya, Dr.Shomona Gracia Jacob, Predicting Protein-Protein Interactions through Associative Classification Technique, International Journal of Computer Science, 3(5), pp.88-95, 2015. 12. S.Sahayaraj, S.G, Jacob, Data Mining to Help Aphasic Quadriplegic and Coma Patients, International Journal of Science and Research (IJSR), 3(9), pp.121-125, 2014. 13. Shomona Gracia Jacob, Dr.R.Geetha Ramani, Data mining in Clinical Data Sets: A Review, International Journal of Applied Information Systems (IJAIS) ISSN: 2249-0868 Foundation of Computer Science FCS, New York, USA Volume 4 No.6, December 2012, pp.15-26. 14. Priya.K, Dr.R.Geetha Ramani, Shomona Gracia Jacob, Data mining techniques for automatic recognition of Carnatic Raga Swaram Notes, International Journal of Computer Applications, Vol.52, No.10, pp.4-9, October,2012. ISSN: 0975-8887. 15. Shomona Gracia Jacob, Dr.R. Geetha Ramani, Evolving Efficient Clustering And Classification Patterns In Lymphography Data through Data Mining Techniques International Journal on Soft Computing (IJSC) Vol.3, No.3, August 2012, ISSN: 2229 6735. 16. Shomona Gracia Jacob, Dr.R. Geetha Ramani, Evolving Efficient classification rules from Cardiotocography data through data mining methods and techniques, European Journal of Scientific Research ( SNIP:0.010, SJR:0.071). Vol.78. No.3 pp. 468-480, June 2012, ISSN: 1450-202X. 17. Dr.R.Geetha Ramani, G.Sivagami, Shomona Gracia Jacob, Feature Relevance Analysis and Classification of Parkinson Disease Tele-Monitoring Data Through Data Mining Techniques, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 2, Issue 3, March 2012 ISSN: 2277 128X
18. Mrs.Shomona Gracia Jacob and Dr. R.Geetha Ramani, Discovery of Knowledge Patterns in Clinical Data through Data Mining Algorithms: Multi-class Categorization of Breast Tissue Data, International Journal of Computer Applications 32(7):46-53, October 2011 ISSN: 0975-8887. International conferences: 19. Shashaank D.S, Sruthi.V, Vijayalakshimi M.L.S and Shomona Gracia Jacob,Investigations on the suitability of Data Mining Techniques in Stock Market Turnover Prediction, Accepted for Publication in the International Conference on Machine Learning and Data Analysis, WCECS, San Francisco, USA October 2015. 20. S.Sahayaraj, S.G, Jacob, Knowledge Discovery through Computational Methods on EEG and fmri Data, Accepted for publication in the International Conference on Computer Science and Application ICCSA- World Congress on Engineering and Computer Science, to be held at San Francisco, October 2015. 21. S.Sahayaraj, S.G, Jacob, Binary Categorization of Brain EEG data: A Case Study, International Conference on Intelligent Information Technologies, pp.184-189, 2014. 22. Lakshmi Priya, Jacob SG, Predicting Protein-Protein Interactions through Associative Rule Mining Techniques: A Comparative Study, International Conference on Intelligent Information Technologies, pp.198-204, 2014. 23. Prakash G, Jacob SG, Radhameena S, Mining Semantic Representation From Medical Text: A Bayesian Approach, International Conference on Recent Trends in Information Technology 978-1-4799-4989-2/14/$31.00 2014 IEEE. 24. Ramani, R.Geetha ; Suresh Kumar S ; Jacob, Shomona Gracia, Rootkit Malicious Code Prediction through Data Mining Methods and Techniques, IEEE International Conference on Computational Intelligence & Computing Research (ICCIC), 2012 2013, Page(s): 1-4 ISBN:978-1-4673-2481-6. 25. Ramani, R.Geetha ; Kumar, S.Vinodh ; Jacob, Shomona Gracia, Predicting faultprone software modules using feature selection and classification through data mining algorithms, IEEE International Conference on Computational Intelligence & Computing Research (ICCIC), 2012 2012, Page(s): 1-4 ISBN:978-1-4673-2481-6 26. Ramani, R.Geetha ; Lakshmi, B. ; Jacob, Shomona Gracia, Data mining method of evaluating classifier prediction accuracy in retinal data, IEEE International Conference on Computational Intelligence & Computing Research (ICCIC),2012, pp. 1-4. ISBN:978-1-4673-2481-6
27. Dr.R.Geetha Ramani, Lakshmi.B, Shomona Gracia Jacob, Automatic Prediction of Diabetic Retinopathy and Glaucoma through Retinal Image Analysis and Data Mining Techniques, In Proc. of International Conference on Machine Vision and Image Processing, (MVIP,12) 2012, pp. 159-162. ISBN:978-1-4673-2319-2. 28. Shomona Gracia Jacob, Dr.R. Geetha Ramani, Efficient classifier for classification of Prognostic Breast Cancer data through Data mining techniques, WCECS- International Conference on Machine Learning and Data Ananlysis, Vol.1 pp. 493-498, ISBN: 978-988-19251-6-9, ISSN: 2078-0958, October, 24-26, held at San Francisco, USA. 29. Shomona Gracia Jacob, Dr.R.Geetha Ramani, Mining of Classification Patterns in Clinical Data through Data Mining Algorithms, pp.997-1003, ISBN:978-1-4503-1196-0, ICACCI,2012, held at Chennai, August 3-5,2012. 30. Shomona Gracia Jacob, Dr.R.Geetha Ramani, Nancy.P, Classification of Splice Junction DNA sequence data through Data mining techniques, ICFCCT,2012,held at Beijing, China, May 19-20, 2012. Pp. 143-148, ISBN:978-988-15121-4-7 31. Nancy.P, Dr.R.Geetha Ramani, Shomona Gracia Jacob, Improvising the accuracy in Classification of Spam emails through Outlier Detection and Classification techniques,icfcct-2012, held at Beijing, China, May 19-20, 2012, Pp. 173-179, ISBN:978-988-15121-4-7 32. P.Revathy, Dr.R.Geetha Ramani,Shomona Gracia Jacob, P.Nancy,Discovery of User Navigation Patterns on a web site through Data Mining Algorithms, ICFCCT,2012,held at Beijing, China, May 19-20, 2012. Pp. 167-172, ISBN:978-988- 15121-4-7 33. Shomona Gracia Jacob, Dr.R.Geetha Ramani, Nancy.P, Discovery of Knowledge Patterns in Lymphographic Clinical Data through Data Mining Methods and Techniques, AIAA,2012, held at Chennai, India, July 13-15,2012, 34. Nancy.P, Dr.R.Geetha Ramani, Shomona Gracia Jacob, Mining of Association Patterns in Social Network Data (Face book 100 Universities) through Data Mining Techniques and Methods, AIAA, held at Chennai, India, July 13-15,2012, 35. Shomona Gracia Jacob, Dr.R. Geetha Ramani, Nancy.P, Efficient Classifier for Classification of Hepatitis C Virus Clinical Data through Data Mining Algorithms and Techniques, Proceedings of the International Conference on Computer Applications, Pondicherry, India, January 27-31, 2012,Techno Forum Group, India. ISBN: 978-81-920575-8-3::DOI:10.73445/ISBN_0768, ACM#.dber.imera.10.73445.
36. Shomona Gracia Jacob, Dr.R.Geetha Ramani, P.Nancy, Feature Selection and Classification in Breast Cancer Datasets through Data Mining Algorithms, Proceedings of the IEEE International Conference on Computational Intelligence and Computing Research (ICCIC 2011), Kanyakumari, India, December 15-18, 2011, IEEE Catalog Number: CFP1120J-PRT, ISBN: 978-1-61284-766-5. Pp. 661-667 37. Nancy.P, Dr.R.Geetha Ramani, Shomona Gracia Jacob, Discovery of Gender Classification Rules for Social Network Data using Data Mining Algorithms, Proceedings of the IEEE International Conference on Computational Intelligence and Computing Research( ICCIC 2011), Kanyakumari, India, December 15-18, 2011, IEEE Catalog Number: CFP1120J-PRT, ISBN:978-1-61284-766-5, pp 808-812