Collaborative Filtering Using Data Mining and Analysis

Collaborative Filtering Using Data Mining and Analysis

Vishal Bhatnagar (Ambedkar Institute of Advanced Communication Technologies and Research, India)
Indexed In: SCOPUS
Release Date: July, 2016|Copyright: © 2017 |Pages: 309
ISBN13: 9781522504894|ISBN10: 1522504893|EISBN13: 9781522504900|DOI: 10.4018/978-1-5225-0489-4


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.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Big Data
  • Clustering Algorithms
  • Data Stream Mining
  • E-Learning Systems
  • Recommender Systems
  • Statistical Rational Learning
  • Text Mining

Reviews and Testimonials

Information technology specialists survey recent trends and patterns in data mining tools and techniques in the area of collaborative filtering. Their topics include a modified single-pass clustering algorithm based on median as a threshold similarity value, a classification framework for applying data mining in collaborative filtering, big data mining using collaborative filtering, a data analytics approach to combining user co-rating and social trust for collaborative recommendation, and statistical relational learning for collaborative filtering.

– ProtoView Reviews

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

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.