Research Publications

Optimized text classification with SVM and Maximum Entropy models using advanced weighting strategies, achieving 97.68% accuracy. Published a novel feature selection process for Naive Bayes in the Proceedings of the Second International Conference on Electronics, Communication and Aerospace Technology (ICECA 2018), IEEE, March 29-31, 2018, Coimbatore, pp. 98-101.

Developed a cancer prediction model analyzing 7,000 gene expressions with Naive Bayes and Maximum Entropy in R, achieving 98.66% accuracy on Colon, Leukemia, and Lymphoma datasets using novel feature selection techniques (PMIGS). Published in International Journal of Mechanical Engineering and Technology, 8(10), 2017, pp. 342–351.

New Feature Selection Process to Enhance Naive Bayes Classification

Enhanced Classification Through Improved Feature Selection Technique