Rupa G. Mehta

Rupa G. Mehta is working as Associate Professor in the Computer Engineering Department, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India. She completed her Ph.D. in from SVNIT, Surat. She has 25+ years of experience in teaching. She delivers expert talks at national and research organizations. She supervised 15+ M. Tech. theses and currently supervising 5+ Ph.D. students. She published many papers in reputed conferences and international journals and served as reviewer in international conferences and peer reviewed journals. She published books “A Novel Approach for High Dimensional Data Clustering” and “Decision Tree Algorithms for Concept Drifted Data Stream”. Her current area of research includes Big Data Analytics, social network mining and legal data mining, machine learning and artificial intelligence.

Publications

Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance
Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance
Dipti P. Rana, Rupa G. Mehta. © 2021. 309 pages.
Over the last two decades, researchers are looking at imbalanced data learning as a prominent research area. Many critical real-world application areas like finance, health...
Topic Sensitive User Clustering Using Sentiment Score and Similarity Measures: Big Data and Social Network
Topic Sensitive User Clustering Using Sentiment Score and Similarity Measures: Big Data and Social Network
Bharat Tidke, Rupa G. Mehta, Dipti P. Rana, Hullash Jangir. © 2020. 12 pages.
Social media data (SMD) is driven by statistical and analytical technologies to obtain information for various decisions. SMD is vast and evolutionary in nature which makes...