Modern Technologies for Big Data Classification and Clustering

"This book provides an analysis of large data in the field of classification and clustering by presenting algorithms and comparative analysis in the form of their effectiveness and efficiency. It covers topics such as handling large data with conventional data mining, machine learning algorithms and information about new technologies, algorithms and platforms developed for handling large data"--

B.K. Tripathy has received 03 gold medals for topping the list of candidates at graduation and post-graduation level of Berhampur University. He was a Professor and Head of the department of Computer Science of Berhampur University till 2007. Dr. Tripathy is now working as a Senior Professor in School of Computing Science and Engineering, VIT University, Vellore, India. He has received research/academic fellowships from UGC, DST, SERC and DOE of Govt. of India for various academic pursuits. Dr. Tripathy has published more than 400 technical papers in different international journals, proceedings of reputed international conferences and edited research volumes. He has produced 26 PhDs, 13 MPhils and 4 M.S (By research) under his supervision. Dr. Tripathy has published two text books on Soft Computing and Computer Graphics. He was selected as honorary member of the American Mathematical Society from 1992-1994 for his distinguished contribution as a reviewer of American Mathematical Review. Dr. Tripathy has served as the member of Advisory board or Technical Programme Committee member of several International conferences inside India and abroad. Also, he has edited two research volumes for IGI publications and is editing three more research volumes. He is a life/senior member of IEEE, ACM, IRSS, CSI, ACEEE, OMS and IMS. Dr.Tripathy is an editorial board member/reviewer of more than 60 journals. He has guest edited some research journals. Dr. Tripathy has Technical grants for research projects from various funding agencies like UGC, DST and DRDO. His research interest includes Fuzzy Sets and Systems, Rough Sets and Knowledge Engineering, Data Clustering, Social Network Analysis, Soft Computing, Granular Computing, Content Based Learning, Neighbourhood Systems, Soft Set Theory, Social Internet of Things, Big Data Analytics, Theory of Multisets and List theory.