Collaborative Filtering Using Data Mining and Analysis

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ISBN 10: 1522504893 / ISBN 13: 9781522504894

Published by Information Science Reference, 2016

About this Item

Zustand: Sehr gut | Seiten: 338 | Sprache: Englisch | Produktart: Bücher | Internet usage has become a normal and essential aspect of everyday life. Due to the immense amount of information available on the web, it has become obligatory to find ways to sift through and categorize the overload of data while removing redundant material. Collaborative Filtering Using Data Mining and Analysis evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices. Featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis, as well as their various applications, this book is an essential reference source for researchers and engineers interested in collaborative filtering.

Seller Inventory # 26989444/2

Bibliographic Details

• Title: Collaborative Filtering Using Data Mining and Analysis
• Publisher: Information Science Reference
• Publication Date: 2016
• Language: English
• ISBN 10: 1522504893
• ISBN 13: 9781522504894
• Binding: Hardcover
• Condition: Sehr gut
• Seller catalogs:
  • Bücher

About this title

Synopsis

"This book evaluates the latest patterns and trending topics in the utilization of data mining tools and filtering practices, featuring emergent research and optimization techniques in the areas of opinion mining, text mining, and sentiment analysis"--

About the Author

Vishal Bhatnagar holds a BTech, a MTech and a PhD in the engineering field. He has more than 16 years of teaching experience at various technical institutions. He is currently working as an Associate Professor in Computer Science in the Engineering Department of the Ambedkar Institute of Advanced Communication Technologies and Research (Government of Delhi), GGSIPU, Delhi, India. His research interests include: database, advance database, data warehousing, data-mining, social network analysis, and big data analytics. He has to his credit more than 80 research papers in various international/national journals and conferences.