Prof. Meerja Akhil Jabbar

Prof. Meerja Akhil Jabbar

Professor
Vardhaman College of Engineering, India


Highest Degree
Ph.D. in Data Mining from Jawaharlal Nehru Technological University, Hyderabad, India

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Biography

Dr. M.A. Jabbar is currently working as Associate Professor and Program Coordinator-UG, Department of CSE Muffakham Jha College of Engineering and Technology, India. He has completed his PhD in Data Mining. He is having 16 years teaching experience. He is committee member of 8th IEEE International Conference on Communication Software and Networks (ICCSN 2016), Beiginj, China, 8th International Conference on Graphic and Image Processing (ICGIP 2016) will be held in Tokyo, Japan. He is also acting as reviewer for IEEE Transactions on Systems, Man and Cybernetics, Systems, Information sciences-Elsevier, Springer Book Series, Indian Heart Journal, American Society for Research journals, journal of computer science, scientific research and essays and reviewer for International Conference on Advances in Computing, Communications and Informatics. He is member of editorial board in International Journal of Advances in Engineering Research, International Journal of Research in Science and Technology. Dr. Jabbar is also serving as professional member of IEEE Computer Society INDIA council EXECOM, IEEE, life member of Indian Science congress association, IEEE Cloud Computing Society, IEEE Consultants Network, IEEE Communication society, International Association of Computer Science and Information Technology, Singapore, International Association of Engineers, international Association for Engineering and Management Education, and member of society of digital information and wireless communications. Dr. Jabbar has published 8 research articles in international journals, 6 papers in international conferences and 5 book chapters contributed as author/co-author.

Area of Interest:

Computer Sciences
100%
Data Mining
62%
Big Data Analysis
90%
Intrusion Detection System
75%
Algorithms
55%

Selected Publications

  1. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2016. Prediction of Heart Disease Using Random Forest and Feature Subset Selection. In: Innovations in Bio-Inspired Computing and Applications. Snasel, V., A. Abraham, P. Kromer, M. Pant and A.K. Muda (Ed.). Springer International Publishing, Switzerland, ISBN: 978-3-319-28030-1, pp: 187-196.
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  2. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2016. Intelligent heart disease prediction system using random forest and evolutionary approach. J. Network Innov. Comput., 4: 175-184.

  3. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2016. A Novel Algorithm for Utility-Frequent Itemset Mining in Market Basket Analysis. In: Innovations in Bio-Inspired Computing and Applications. Snasel, V., A. Abraham, P. Kromer, M. Pant and A.K. Muda (Ed.). Springer International Publishing, Switzerland, ISBN: 978-3-319-28030-1, pp: 337-345.
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  4. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2013. Knowledge Discovery Using Associative Classification for Heart Disease Prediction. In: Intelligent Informatics, Abraham, A. and S.M. Thampi (Ed.). Springer Berlin Heidelberg, Germany, ISBN: 978-3-642-32062-0, pp: 29-39.
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  5. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2013. Heart disease classification using nearest neighbor classifier with feature subset selection. Ann. Comput. Sci. Ser., 11: 47-54.
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  6. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2013. Graph Based Approach for Heart Disease Prediction. In: Proceedings of the Third International Conference on Trends in Information, Telecommunication and Computing, Das, V.V. (Ed.). LNEE., Vol. 150, Springer, New York, USA., ISBN: 978-1-4614-3362-0, pp: 465-474.
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  7. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2013. Classification of heart disease using artificial neural network and feature subset selection. Global J. Comput. Sci. Technol. Neural Artif. Intell., 13: 5-14.
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  8. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2013. Classification of heart disease using K-nearest neighbor and genetic algorithm. Procedia Technol., 10: 85-94.
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  9. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2012. Data partitioning and bit vector approach for weighted frequent item set mining. Int. J. Comput. Theory Eng., 4: 980-982.
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  10. Jabbar, M.A., B.L. Deekshatulu and P. Chandra, 2012. An Evolutionary Algorithm for Heart Disease Prediction. In: Wireless Networks and Computational Intelligence, Venugopal, K.R. and L.M. Patnaik (Eds.)., Springer, Berlin Heidelberg, ISBN: 978-3-642-31685-2, pp: 378-389.
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  11. Jabbar, M.A., 2012. Knowledge discovery from mining association rules for heart disease prediction. J. Theor. Appl. Inf. Technol., 41: 166-174.
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  12. Jabbar, M.A., P. Chandra and B.L. Deekshatulu, 2011. Cluster based association rule mining for heart attack prediction. J. Theoret. Applied Inform. Technol., 32: 196-201.
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  13. Deepthi, T., M.A. Jabbar and A.C. Sharma, 2011. Solving imbalanced data problem with a new approach. Digital Image Process., 3: 43-46.
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