Cognitive Social Mining Applications in Data Analytics and Forensics - Softcover

9781522586685: Cognitive Social Mining Applications in Data Analytics and Forensics

Softcover

ISBN 10: 1522586687 ISBN 13: 9781522586685

Verlag: Information Science Reference, 2018

Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data.

Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.

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�ber die Autorinnen und Autoren

Anandakumar Haldorai , Professor (Associate) and Research Head in Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India. He has received his Master’s in Software Engineering from PSG College of Technology, Coimbatore and PhD in Information and Communication Engineering from PSG College of Technology under, Anna University, Chennai. His research areas include Big Data, Cognitive Radio Networks, Mobile Communications and Networking Protocols. He has authored more than 82 research papers in reputed International Journals and IEEE conferences. He has authored 7 books and many book chapters with reputed publishers such as Springer and IGI. He is editor of Inderscience IJISC and served as a reviewer for IEEE, IET, Springer, Inderscience and Elsevier journals. He is also the guest editor of many journals with Elsevier, Springer, Inderscience, etc. He has been the General Chair, Session Chair, and Panelist in several conferences. He is senior member of IEEE, IET, ACM and Fellow member of EAI research group.

Arulmurugan Ramu Received his PhD. degrees in Information and Communication Engineering from Anna University, Chennai, Tamil Nadu, India. He is currently working as Assistant Professor in the Department of Computer Science and Engineering, Presidency University, India. He received Young Faculty Award for 2018. He published many paper in Scopus indexed and SCI journals with Google scholar 61 citations.His research interests include Digital Image Processing, Biomedical Image Processing Computer vision, pattern recognition, and machine learning.

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