Modern Technologies for Big Data Classification and Clustering

Modern Technologies for Big Data Classification and Clustering

Hari Seetha (Vellore Institute of Technology-Andhra Pradesh, India), M. Narasimha Murty (Indian Institute of Science, India) and B. K. Tripathy (VIT University, India)
Indexed In: SCOPUS
Release Date: July, 2017|Copyright: © 2018 |Pages: 360
ISBN13: 9781522528050|ISBN10: 1522528059|EISBN13: 9781522528067|DOI: 10.4018/978-1-5225-2805-0

Description

Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage.

Modern Technologies for Big Data Classification and Clustering is an essential reference source for the latest scholarly research on handling large data sets with conventional data mining and provide information about the new technologies developed for the management of large data. Featuring coverage on a broad range of topics such as text and web data analytics, risk analysis, and opinion mining, this publication is ideally designed for professionals, researchers, and students seeking current research on various concepts of big data analytics.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Data visualization
  • Distributed Computing Systems
  • Opinion Mining
  • Privacy and Security
  • Risk Analysis
  • Social network analysis
  • Text Data Analytics
  • Web Data Analytics

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

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.

Indices