New Age Analytics

Transforming the Internet Through Machine Learning, Iot, and Trust Modeling
1. Auflage 2020
ISBN: 978-1-77188-875-2
Verlag: Apple Academic Press

Buch, Englisch, 366 Seiten, Format (B × H): 155 mm x 236 mm, Gewicht: 839 g

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.

Zielgruppe

Academic and Postgraduate

Autoren/Hrsg.

Shrivastava, Gulshan

Peng, Sheng-Lung

Bansal, Himani

Sharma, Kavita

Sharma, Meenakshi

Fachgebiete

• Technische Wissenschaften Technik Allgemein Technik: Allgemeines
• Mathematik | Informatik EDV | Informatik Digital Lifestyle Internet, E-Mail, Social Media
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines

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.

Über Autor(innen)

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.