Cognitive Social Mining Applications in Data Analytics and Forensics

Cognitive Social Mining Applications in Data Analytics and Forensics

Anandakumar Haldorai (Sri Eshwar College of Engineering, India) and Arulmurugan Ramu (Presidency University, India)
Release Date: December, 2018|Copyright: © 2019 |Pages: 326
ISBN13: 9781522575221|ISBN10: 1522575227|ISBN13 Softcover: 9781522586685|EISBN13: 9781522575238|DOI: 10.4018/978-1-5225-7522-1

Description

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.

Topics Covered

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

  • Cloud Computing
  • Cognitive Computing
  • Data Mining
  • Healthcare
  • Indexing
  • Machine Learning Techniques
  • Medical Document Clustering
  • Real-Time Ubiquitous Social Mining Services
  • Security
  • Social Mining
  • Social network analysis
  • Social Platforms

Promotional Video

Table of Contents and List of Contributors

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