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Shrivastava / Peng / Bansal

New Age Analytics

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

Medium: Buch
ISBN: 978-1-77188-875-2
Verlag: Apple Academic Press
Erscheinungstermin: 24.08.2020
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9781771888752
  • Medium: Buch
  • ISBN: 978-1-77188-875-2
  • Verlag: Apple Academic Press
  • Erscheinungstermin: 24.08.2020
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2020
  • Produktform: Gebunden
  • Gewicht: 839 g
  • Seiten: 366
  • Format (B x H x T): 155 x 236 x 23 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Shrivastava, Gulshan

Peng, Sheng-Lung

Bansal, Himani

Sharma, Kavita

Sharma, Meenakshi

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.