New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, 1st Edition (Hardback) book cover

New Age Analytics

Transforming the Internet through Machine Learning, IoT, and Trust Modeling, 1st Edition

Edited by Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma

Apple Academic Press

338 pages | 10 Color Illus. | 76 B/W Illus.

Purchasing Options:$ = USD
Hardback: 9781771888752
pub: 2020-03-01
Available for pre-order. Item will ship after 1st March 2020
$169.95
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Description

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more.

This volume provides an abundance of valuable information for professionals and researchers working in the field of business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis. Moreover, the book provides insights and support from both practitioners and academia in order to highlight the most debated aspects in the field.

Table of Contents

1. Digital Marketing and Analysis Techniques: Transforming Internet Usage

Meenakshi Sharma et al.

2. Machine Learning Techniques and Tools: Merits and Demerits

V. Ramasamy et al.

3. Machine Learning and Its Applicability in Networking

Amit Jain and Anand Nayyar

4. Machine Learning to Gain Novel Insight on Web Network Analysis

Meenakshi Sharma, Anshul Garg, and Nitin Jain

5. Online Trust Evaluation

Deepak Kumar Sharma, Nikita Chawla, and Ravin Kaur Anand

6. Trust-Based Sentimental Analysis and Online Trust Evaluation

S. Rakesh Kumar and S. Muthuramalingam

7. Denaturing the Internet through a Trust Appraisement Paradigm by QoS Accretion

Sherin Zafar and Deepa Mehta

8. Collaborative Filtering in Recommender Systems: Technicalities, Challenges, Applications, and Research Trends

Pradeep Kumar Singh, Pijush Kanti Dutta Pramanik, and Prasenjit Choudhury

9. Business Application Analytics through the Internet of Things

Deepak Kumar Sharma, Pragi Malhotra, and Jayant Verma

10. Business Application Analytics and the Internet of Things: The Connecting Link

Ankita Gupta et al.

11. An Enablement Platform for an Internet of Things Application: A Business Model

B. D. Deebak

12. Social Media Analytics Using R Programming

Sonia Saini, Ruchika Bathla, and Ritu Punhani

About the Editors

Gulshan Shrivastava is working as researcher in the Department of Computer Science & Engineering at the National Institute of Technology Patna (Institute of National Importance), India.

Sheng-Lung Peng is a Professor of the Department of Computer Science and Information Engineering at National Dong Hwa University (NDHU), Hualien, Taiwan.

Himani Bansal has served as Assistant Professor at various reputable engineering colleges and universities. Currently, she is working with the Jaypee Institute of Information Technology, Noida, India.

Kavita Sharma is a Senior Research Fellow in the Department of Computer Engineering at the National Institute of Technology, Kurukshetra, (Institution of National Importance) India.

Meenakshi Sharma is Professor at the University Institute of Computing at Chandigarh University, Ajitgarh, India.

Subject Categories

BISAC Subject Codes/Headings:
COM021030
COMPUTERS / Database Management / Data Mining
COM037000
COMPUTERS / Machine Theory
COM060000
COMPUTERS / Internet / General
COM064000
COMPUTERS / Electronic Commerce (see also headings under BUSINESS & ECONOMICS / E-Commerce)
SCI000000
SCIENCE / General