Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance - Softcover

 
9781799873723: Data Preprocessing, Active Learning, and Cost Perceptive Approaches for Resolving Data Imbalance

Inhaltsangabe

"This edited book provides a selection of chapters to improve the understanding of the impact of imbalanced data and its resolving techniques based on the Data Preprocessing, Active Learning, and Cost Perceptive Approaches"--

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Über die Autorinnen und Autoren

Dipti P. Rana is working as Assistant 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 21+ 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 a book on “Temporal Association Rule Based Models for Weather Prediction”. Her current area of research includes Big Data Mining especially in the field of imbalanced data, health data, social network and legal data, machine learning, artificial intelligence and high performance computing.

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.

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