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List of contents
1. Digital Marketing and Analysis Techniques: Transforming Internet Usage. 2. Machine Learning Techniques and Tools: Merits and Demerits. 3. Machine Learning and Its Applicability in Networking. 4. Machine Learning to Gain Novel Insight on Web Network Analysis. 5. Online Trust Evaluation. 6. Trust-Based Sentimental Analysis and Online Trust Evaluation. 7. Denaturing the Internet through a Trust Appraisement Paradigm by QoS Accretion. 8. Collaborative Filtering in Recommender Systems: Technicalities, Challenges, Applications, and Research Trends. 9. Business Application Analytics through the Internet of Things. 10. Business Application Analytics and the Internet of Things: The Connecting Link. 11. An Enablement Platform for an Internet of Things Application: A Business Model. 12. Social Media Analytics Using R Programming.
About the author
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.
Summary
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.
