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Dr. Senbagavalli M

Associate Professor

Alliance College of Engineering and Design

Dr. M.Senbagavalli a doctoral degree from Anna University on the topic, ‘Opinion Mining of Health Data for Cardiovascular Disease Diagnosis Using Unsupervised Feature Selection Algorithm’. She also holds an M.E. in Computer Science and Engineering from Jayam College of Engineering and Technology and a B.E. in Information Technology degree from the Sona College of Technology.

Her areas of teaching and research include: Data Mining, Big Data Analytics, IoT, Computer Networks, Object Oriented Programming (C++ and Java), Object Oriented Analysis and Design, Visual Programming, C# and .Net, Software Testing, Software Engineering and Quality Assurance, Design and Analysis of Algorithms.

She has presented and published papers in national and international conferences/ journals focusing on Data Mining, Big Data Analytics, Cloud Computing and Opinion Mining.

Research Paper Publications

  • ‘An Efficient Feature Selection Technique of unsupervised learning approach for analyzing web opinions’, Journal of Scientific and Industrial Research Vol. 75, April 2016, pp. 2 21-224,Annexure-I.(SCI).
  • ‘Evaluating Mental Health Workload among Employee using artificial neural network’, International Journal of Emerging Technology in Computer Science and Electronics –2016,Vol. 23, Issue No. 1.
  • ‘Opinion Mining for Cardiovascular Disease using Decision Tree based Feature Selection’ , Asian Journal of Research in Social Sciences and Humanities –Vol. 6, No. 8, August 2016, pp. 891-897, ISSN 2249-7315,Updated List.
  • ‘Offloading Android Applications to the Cloud without Customizing Android’, International Journal of Emerging Technology in Computer Science and Electronics –Vol. 21, Issue No. 2, April 2016.
  • ‘Optimization of Human Liver Cancer using Fuzzy Inference System for Microarray Gene Data’, in Australian Journal of Basic and Applied Sciences, 9(10), 2015, ISSN: 1991-8178, Pages: 86-92. Annexure-II. (SCI).
  • ‘A Computational Modeling of Epidemics using Susceptible-Exposed-Infected-Recovered Deceased Model’, in International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 9 No.27 (2014) pp. 9433-9437. Annexure-II. (SCOPUS and Google Scholar).
  • ‘A Competent approach for extracting and visualizing web opinions using Clustering’, in International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, 2014,Issue 6, ISSN: 2277 128X.
  • ‘Delegating Log Management to the Cloud by Secure Logging as a Service’, in International Journal of Advanced Research in Computer Engineering and Technology (IJARCET), Volume 3, Issue 3, 2014.
  • ’A Combined Approach for Supervised Learning of Online User Reviews using Opinion Mining’, International Journal of Research Review in Engineering and Management (IJRREM), Volume -2,Issue -2, Feb-2018, Page No : 1-21 ,Impact Factor: 2.9463, Scribd Impact Factor :4.7317,Academia Impact Factor :1.1610
Research Papers Presented/Published in the Conference Proceedings
  • ‘An Efficient Feature Selection Technique of unsupervised learning approach for analyzing web opinions’, Journal of Scientific and Industrial Research Vol. 75, April 2016, pp. 2 21-224,Annexure-I.(SCI).
  • ‘Evaluating Mental Health Workload among Employee using artificial neural network’, International Journal of Emerging Technology in Computer Science and Electronics –2016,Vol. 23, Issue No. 1.
  • ‘Opinion Mining for Cardiovascular Disease using Decision Tree based Feature Selection’ , Asian Journal of Research in Social Sciences and Humanities –Vol. 6, No. 8, August 2016, pp. 891-897, ISSN 2249-7315,Updated List.
  • ‘Offloading Android Applications to the Cloud without Customizing Android’, International Journal of Emerging Technology in Computer Science and Electronics –Vol. 21, Issue No. 2, April 2016.
  • ‘Optimization of Human Liver Cancer using Fuzzy Inference System for Microarray Gene Data’, in Australian Journal of Basic and Applied Sciences, 9(10), 2015, ISSN: 1991-8178, Pages: 86-92. Annexure-II. (SCI).
  • ‘A Computational Modeling of Epidemics using Susceptible-Exposed-Infected-Recovered Deceased Model’, in International Journal of Applied Engineering Research, ISSN 0973-4562 Vol. 9 No.27 (2014) pp. 9433-9437. Annexure-II. (SCOPUS and Google Scholar).
  • ‘A Competent approach for extracting and visualizing web opinions using Clustering’, in International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, 2014,Issue 6, ISSN: 2277 128X.
  • ‘Delegating Log Management to the Cloud by Secure Logging as a Service’, in International Journal of Advanced Research in Computer Engineering and Technology (IJARCET), Volume 3, Issue 3, 2014.
  • ’A Combined Approach for Supervised Learning of Online User Reviews using Opinion Mining’, International Journal of Research Review in Engineering and Management (IJRREM), Volume -2,Issue -2, Feb-2018, Page No : 1-21 ,Impact Factor: 2.9463, Scribd Impact Factor :4.7317,Academia Impact Factor :1.1610