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Einband grossNew Age Analytics
ISBN/GTIN
E-BookEPUB0 - No protectionE-Book
366 Seiten
Englisch
Taylor & Franciserschienen am14.05.20201. Auflage
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.mehr
Verfügbare Formate
BuchGebunden
EUR172,50
TaschenbuchKartoniert, Paperback
EUR105,50
E-BookEPUB0 - No protectionE-Book
EUR147,99
E-BookPDF0 - No protectionE-Book
EUR147,99

Produkt

KlappentextThis 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.
Details
Weitere ISBN/GTIN9781000762600
ProduktartE-Book
EinbandartE-Book
FormatEPUB
Format Hinweis0 - No protection
Erscheinungsjahr2020
Erscheinungsdatum14.05.2020
Auflage1. Auflage
Seiten366 Seiten
SpracheEnglisch
Dateigrösse6899 Kbytes
Illustrationen76 schwarz-weiße und 10 farbige Abbildungen
Artikel-Nr.4894273
Rubriken
Genre9200

Inhalt/Kritik

Inhaltsverzeichnis
1. Digital Marketing and Analysis Techniques: Transforming Internet Usage

Meenakshi Sharma et al.

2. Machine Learning Techniques and Tools: Merits and Demerits

V. Ramasamy et al.

3. Machine Learning and Its Applicability in Networking

Amit Jain and Anand Nayyar

4. Machine Learning to Gain Novel Insight on Web Network Analysis

Meenakshi Sharma, Anshul Garg, and Nitin Jain

5. Online Trust Evaluation

Deepak Kumar Sharma, Nikita Chawla, and Ravin Kaur Anand

6. Trust-Based Sentimental Analysis and Online Trust Evaluation

S. Rakesh Kumar and S. Muthuramalingam

7. Denaturing the Internet through a Trust Appraisement Paradigm by QoS Accretion

Sherin Zafar and Deepa Mehta

8. Collaborative Filtering in Recommender Systems: Technicalities, Challenges, Applications, and Research Trends

Pradeep Kumar Singh, Pijush Kanti Dutta Pramanik, and Prasenjit Choudhury

9. Business Application Analytics through the Internet of Things

Deepak Kumar Sharma, Pragi Malhotra, and Jayant Verma

10. Business Application Analytics and the Internet of Things: The Connecting Link

Ankita Gupta et al.

11. An Enablement Platform for an Internet of Things Application: A Business Model

B. D. Deebak

12. Social Media Analytics Using R Programming

Sonia Saini, Ruchika Bathla, and Ritu Punhanimehr

Autor

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.