Modern Technologies for Big Data Classification and Clustering (inbunden)
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Inbunden (Hardback)
Antal sidor
IGI Global
Kirti, Manas (förf)/Kumar, R. Raja (förf)/M, H. M. Krishna Prasad (förf)/Mishra, Brojo Kishore (förf)/Mishra, Monalisa (förf)
Black & white illustrations
254 x 178 x 22 mm
885 g
Antal komponenter
68:B&W 7 x 10 in or 254 x 178 mm Case Laminate on White w/Gloss Lam
Modern Technologies for Big Data Classification and Clustering (inbunden)

Modern Technologies for Big Data Classification and Clustering

Inbunden, Engelska, 2017-07-12
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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
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Övrig information

B. K. Tripathy is a Senior Professor in SCOPE, VIT University, Vellore, India. He has received fellowships from UGC, DST, SERC and DOE of Govt. of India. He has published more than 320 technical papers and has produced 21 PhDs, 13 MPhils and 2 M.S (By research) under his supervision. Dr. Tripathy has published two text books on Soft Computing and Computer Graphics and has edited two research volumes for IGI publications. He is a life-time/ senior member of IEEE, ACM, IRSS, CSI and IMS. He is an editorial board member/reviewer of more than 60 journals. 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 and applications, multiset theory, list theory and multi-criteria decision making. C. Shoba Bindu is currently working as an Associate Professor in the Department of Computer Science and Engineering at Jawaharlal Nehru Technological University Anantapur college of Engineering, Ananthapuramu. She obtained herBachelor degree in Electronics and Communication Engineering, Master's in Computer Science and Ph.D. in Computer Science & Engineering from Jawaharlal Nehru Technological University Anantapur. She has published several Research papers in National /International Conferences and Journals. Her research interests are network security. S Rao Chintalapudi received both Bachelor of Technology and Master of Technology from Bonam Venkata Chalamayya Engineering College, Odalarevu,affiliated to JNTU Kakinada. Currently, he is working as a full time research scholar in the department of computer science and engineering, University College of Engineering Kakinada (Autonomous), Jawaharlal Nehru Technological University Kakinada, Andhra Pradesh, India. He worked as assistant professor in Bharat Institute of Engineering and Technology and CMR Technical Campus in Hyderabad. He is a member of CSI, IEEE and ACM. He has six research papers published in international conferences and peer reviewed journals. He is a member of the board of reviewers in International journal of Rough Sets and Data Analysis (IJRSDA). His research interests are Social Network Analysis, Graph Mining, High Performance Computing, Big Data Analytics and Data Mining. Ashok Kumar J received the Bachelor of Science (BSc) degree in mathematics from University of Madras, the Master of Computer Applications (MCA) degree in computer applications from Anna University. He is currently a research scholar in the department of Information Science and Technology, Anna University, Chennai. His research interests include opinion mining, analytics, data mining and machine learning. Manas Kirti is working as Software Development Engineer at Flipkart Internet Private Limited, Bangalore. Previously, he worked as Software Engineer at Samsung Research Institute, Bangalore. He graduated in Computer Science & Engineering from Birla Institute of Technology, Mesra in 2014. His areas of interests include developing Machine Learning models.R. Raja Kumar received his M.Tech in Computer Science from Jawahar Lal Technological University, Kakinada. Currently He is working as Assistant professor in Computer Science and Engineering Department, at RGMCET, Nandyal. Currently he is working for his Ph.d at Jawahar Lal TechnologicalUnviersity, Anantapur. His areas of interest are Pattern Recognition, Data Mining, Machine Learning. H. M. Krishna Prasad M is currently Full Professor, Department of Computer Science and Engineering, University College of Engineering Kakinada (Autonomous), JNTUK, Andhra Pradesh. He did his B.E. from Osmania University, Hyderabad, M.Tech and Ph.D. in data mining from JNTU, Hyderabad. Dr. Munaga successfullycompleted a two year MIUR fellowship (Jan 2007 - Dec 08) at University of Udine, Udine, Italy. He has about 50+ research papers in various International Journals and Conferences, and atten