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New Age Analytics

Transforming the Internet through Machine Learning, IoT, and Trust Modeling
TaschenbuchKartoniert, Paperback
344 Seiten
Englisch
Apple Academic Press Inc.erschienen am24.02.2022
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.mehr
Verfügbare Formate
BuchGebunden
EUR172,50
TaschenbuchKartoniert, Paperback
EUR105,50
E-BookEPUB0 - No protectionE-Book
EUR147,99
E-BookPDF0 - No protectionE-Book
EUR147,99

Produkt

KlappentextThis 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.
Details
ISBN/GTIN978-1-77463-499-8
ProduktartTaschenbuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2022
Erscheinungsdatum24.02.2022
Seiten344 Seiten
SpracheEnglisch
MasseBreite 234 mm, Höhe 155 mm, Dicke 24 mm
Gewicht598 g
Artikel-Nr.58532294

Inhalt/Kritik

Inhaltsverzeichnis
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.mehr

Autor

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.