New Age Analytics

Transforming the Internet through Machine Learning, IoT, and Trust Modeling

Gulshan Shrivastava, Sheng-Lung Peng, Himani Bansal, Kavita Sharma, Meenakshi Sharma (Herausgeber)

Buch | Hardcover

344 Seiten

2020
Apple Academic Press Inc. (Verlag)
978-1-77188-875-2 (ISBN)

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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.

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.

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.

Erscheinungsdatum	25.08.2020
Zusatzinfo	9 Tables, black and white; 15 Illustrations, color; 76 Illustrations, black and white
Verlagsort	Oakville
Sprache	englisch
Maße	156 x 234 mm
Gewicht	840 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Mathematik / Informatik ► Informatik ► Web / Internet
ISBN-10	1-77188-875-X / 177188875X
ISBN-13	978-1-77188-875-2 / 9781771888752
Zustand	Neuware