Produktbild: New Age Analytics

New Age Analytics Transforming the Internet through Machine Learning, IoT, and Trust Modeling

232,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.08.2020

Herausgeber

Gulshan Shrivastava + weitere

Verlag

Apple Academic Press

Seitenzahl

368

Maße (L/B/H)

24/16,1/2,4 cm

Gewicht

716 g

Sprache

Englisch

ISBN

978-1-77188-875-2

Beschreibung

Portrait

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.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

24.08.2020

Herausgeber

Verlag

Apple Academic Press

Seitenzahl

368

Maße (L/B/H)

24/16,1/2,4 cm

Gewicht

716 g

Sprache

Englisch

ISBN

978-1-77188-875-2

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: New Age Analytics
  • 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.