New Age Analytics
Transforming the Internet through Machine Learning, IoT, and Trust Modeling
Herausgeber: Shrivastava, Gulshan; Peng, Sheng-Lung; Sharma, Meenakshi; Sharma, Kavita; Bansal, Himani
90,99 €
inkl. MwSt.
Versandkostenfrei*
Liefertermin unbestimmt
Melden Sie sich
hier
hier
für den Produktalarm an, um über die Verfügbarkeit des Produkts informiert zu werden.
45 °P sammeln
New Age Analytics
Transforming the Internet through Machine Learning, IoT, and Trust Modeling
Herausgeber: Shrivastava, Gulshan; Peng, Sheng-Lung; Sharma, Meenakshi; Sharma, Kavita; Bansal, Himani
- Broschiertes Buch
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.
Andere Kunden interessierten sich auch für
- Recent Advances in Security, Privacy, and Trust for Internet of Things (IoT) and Cyber-Physical Systems (CPS)45,99 €
- IoT Security Paradigms and Applications50,99 €
- Pethuru RajThe Internet of Things42,99 €
- Human-Machine Interaction and IoT Applications for a Smarter World123,99 €
- Futuristic Research Trends and Applications of Internet of Things95,99 €
- Bandana MahapatraGreen Internet of Things46,99 €
- Reinvention of Health Applications with IoT100,99 €
-
-
-
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 Inc.
- Seitenzahl: 344
- Erscheinungstermin: 24. Februar 2022
- Englisch
- Abmessung: 155mm x 234mm x 24mm
- Gewicht: 598g
- ISBN-13: 9781774634998
- ISBN-10: 1774634996
- Artikelnr.: 62797810
- Verlag: Apple Academic Press Inc.
- Seitenzahl: 344
- Erscheinungstermin: 24. Februar 2022
- Englisch
- Abmessung: 155mm x 234mm x 24mm
- Gewicht: 598g
- ISBN-13: 9781774634998
- ISBN-10: 1774634996
- Artikelnr.: 62797810
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.