Social Network Forensics, Cyber Security, and Machine Learning

✍ Scribed by P. Venkata Krishna, Sasikumar Gurumoorthy, Mohammad S. Obaidat

Publisher: Springer Singapore
Year: 2019
Tongue: English
Leaves: 121
Series: SpringerBriefs in Applied Sciences and Technology
Edition: 1st ed.
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.

✦ Table of Contents

Front Matter ....Pages i-viii
Classifying Content Quality and Interaction Quality on Online Social Networks (Amtul Waheed, Jana Shafi, P. Venkata Krishna)....Pages 1-7
Population Classification upon Dietary Data Using Machine Learning Techniques with IoT and Big Data (Jangam J. S. Mani, Sandhya Rani Kasireddy)....Pages 9-27
Investigating Recommender Systems in OSNs (Jana Shafi, Amtul Waheed, P. Venkata Krishna)....Pages 29-44
A Methodology for Processing Opinion Mining on GST in India from Social Media Data Using Recursive Neural Networks and Maximum Entropy Techniques (N. V. Muthu Lakshmi, T. Lakshmi Praveena)....Pages 45-57
A Framework for Sentiment Analysis Based Recommender System for Agriculture Using Deep Learning Approach (Pradeepthi Nimirthi, P. Venkata Krishna, Mohammad S. Obaidat, V. Saritha)....Pages 59-66
A Review on Crypto-Currency Transactions Using IOTA (Technology) (Kundan Dasgupta, M. Rajasekhara Babu)....Pages 67-81
Predicting Ozone Layer Concentration Using Machine Learning Techniques (Aditya Sai Srinivas, Ramasubbareddy Somula, K. Govinda, S. S. Manivannan)....Pages 83-92
Graph Analysis and Visualization of Social Network Big Data (N. Mithili Devi, Sandhya Rani Kasireddy)....Pages 93-104
Research Challenges in Big Data Solutions in Different Applications (Bhawna Dhupia, M. Usha Rani)....Pages 105-116

✦ Subjects

Engineering; Computational Intelligence; Big Data; Mathematical Models of Cognitive Processes and Neural Networks; Signal, Image and Speech Processing; Information Systems Applications (incl.Internet)

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