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New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling [Mīkstie vāki]

Edited by (Jaypee Institute of Information Technology), Edited by (Galgotias Uni.), Edited by (National Taipei University of Business, Taiwan), Edited by , Edited by
  • Formāts: Paperback / softback, 344 pages, height x width: 234x156 mm, weight: 453 g, 9 Tables, black and white; 15 Illustrations, color; 76 Illustrations, black and white
  • Izdošanas datums: 24-Feb-2022
  • Izdevniecība: Apple Academic Press Inc.
  • ISBN-10: 1774634996
  • ISBN-13: 9781774634998
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  • Mīkstie vāki
  • Cena: 110,63 €
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  • Formāts: Paperback / softback, 344 pages, height x width: 234x156 mm, weight: 453 g, 9 Tables, black and white; 15 Illustrations, color; 76 Illustrations, black and white
  • Izdošanas datums: 24-Feb-2022
  • Izdevniecība: Apple Academic Press Inc.
  • ISBN-10: 1774634996
  • ISBN-13: 9781774634998
Citas grāmatas par šo tēmu:

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.



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.

Contributors xi
Abbreviations xv
Preface xix
1 Digital Marketing and Analysis Techniques: Transforming Internet Usage
1(22)
Meenakshi Sharma
Nidhika Chauhan
Himani Bansal
Loredana Stanciu
2 Machine Learning Techniques and Tools: Merits and Demerits
23(34)
V. Ramasamy
B. Gomathy
O. Obulesu
Joy Lal Sarkar
Chhabi Rani Panigrahi
Bibudhendu Pati
Abhishek Majumder
3 Machine Learning and Its Applicability in Networking
57(24)
Amit Jain
Anand Nayyar
4 Machine Learning to Gain Novel Insight on Web Network Analysis
81(22)
Meenakshi Sharma
Anshul Garg
Nitin Jain
5 Online Trust Evaluation
103(32)
Deepak Kumar Sharma
Nikita Chawla
Ravin Kaur Anand
6 Trust-Based Sentimental Analysis and Online Trust Evaluation
135(22)
S. Rakeshkumar
S. Muthuramalingam
7 Denaturing the Internet Through a Trust Appraisement Paradigm by QoS Accretion
157(26)
Sherin Zafar
Deepa Mehta
8 Collaborative Filtering in Recommender Systems: Technicalities, Challenges, Applications, and Research Trends
183(34)
Pradeep Kumar Singh
Pijush Kanti Dutta Pramanik
Prasenjit Choudhury
9 Business Application Analytics Through the Internet of Things
217(32)
Deepak Kumar Sharma
Pragi Malhotra
Jayant Verma
10 Business Application Analytics and the Internet of Things: The Connecting Link
249(26)
Ankita Gupta
Ankit Srivastava
Rohit Anand
Tina TomaZii
11 An Enablement Platform for an Internet of Things Application: A Business Model
275(34)
B. D. Deebak
12 Social Media Analytics Using R Programming
309(24)
Sonia Saini
Ruchika Bathla
Ritu Punhani
Index 333
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 Associate Professor at the Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology & Management, Greater Noida, India.





Meenakshi Sharma





is Professor at the School of Computer Science and Engineering, Galgotias University, India.