Collaborative Filtering Using Data Mining and AnalysisBhatnagar, Vishal IGI Global, 13 Jul 2016 - 309 halaman 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. |
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Collaborative Filtering Using Data Mining and Analysis Vishal Bhatnagar Pratinjau tidak tersedia - 2016 |
Istilah dan frasa umum
accuracy adaptive e-learning analyzing Artificial Intelligence association rule mining based collaborative filtering Bayesian Bayesian Networks behavior bitwise table centroids CF-Miner algorithm chapter Chen clustering algorithm collaborative filtering collaborative filtering approach collaborative filtering techniques column index column sum Computer Science concept drift content-based data analysis data mining techniques data objects data stream mining database dataset decision tree domain e-learning Educational Engineering evaluation extract Figure frequent patterns Hadoop hybrid IEEE Transactions IGI Global India initial centroids International Conference International Journal k-means algorithm Knowledge Discovery learners Machine Learning MapReduce methods movie MSPC algorithm neighbors nodes number of clusters opinion mining pattern mining performance prediction preferences probabilistic problem Proceedings proposed recommender systems retrieval scalability Sentiment analysis sentiment classification social networks sparsity Statistical Relational Learning Systems with Applications Technology trust trust-based user’s users based various vector visual data mining Web Mining Zhang