New Age Analytics
Transforming the Internet through Machine Learning, IoT, and Trust Modeling
Herausgeber: Shrivastava, Gulshan; Bansal, Himani; Peng, Sheng-Lung
New Age Analytics
Transforming the Internet through Machine Learning, IoT, and Trust Modeling
Herausgeber: Shrivastava, Gulshan; Bansal, Himani; Peng, Sheng-Lung
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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.
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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.
Produktdetails
- Produktdetails
- Verlag: Apple Academic Press
- Seitenzahl: 344
- Erscheinungstermin: 24. August 2020
- Englisch
- Abmessung: 236mm x 155mm x 23mm
- Gewicht: 839g
- ISBN-13: 9781771888752
- ISBN-10: 177188875X
- Artikelnr.: 60074756
- Verlag: Apple Academic Press
- Seitenzahl: 344
- Erscheinungstermin: 24. August 2020
- Englisch
- Abmessung: 236mm x 155mm x 23mm
- Gewicht: 839g
- ISBN-13: 9781771888752
- ISBN-10: 177188875X
- Artikelnr.: 60074756
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.
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.
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.
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.