Titlebook: High Performance Data Mining; Scaling Algorithms, Yike Guo,Robert Grossman Book 2002 Springer Science+Business Media New York 2002 algorit

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Xiaowei Xu,Jochen J?ger,Hans-Peter Kriegelasingly important role for a user in order to deal with information overload problem on the Web. Recent studies demonstrate that incorporation of soft computing techniques into traditional RSs can improve the accuracy of recommendations. This paper, therefore, presents a review of the field of recom

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David W. Cheung,Yongqiao Xiaohe increasing need, various recommendation systems have been developed including recommendation for music, book, movie, etc. The book recommendation technique usually explores the rating of the users for the particular product to recommend it to other users. Instead of utilizing users’ reviews, we h

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Y. Xiang,T. Chunetworks (ANNs), rough set (RS) and evolutionary computing (EC). Among them, fuzzy set is widely used technique in this domain, which is referred to as “Fuzzy Time Series (FTS)”. In this chapter, extensive information and knowledge are provided for the FTS concepts and their applications in time ser

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Anurag Srivastava,Eui-Hong Han,Vipin Kumar,Vineet Singhgation guides, User profiles extraction, Web-based distributed information systems,? Web security applications, Internet of Things Applications and so on. . .The book is aimed for researchers and practitioner who are engaged in developing and applying intelligent systems principles for solving real-

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David W. Cheung,Yongqiao Xiao quantifiers are applied over these scores and the value of three linguistic quantifiers, ‘a(chǎn)t least half’, ‘most’ and ‘a(chǎn)s many as possible’, are compared with amazon ranking, evaluated on the basis of ranks explicitly taken from experts. P@10, FPR@10 and Mean Average Precision (MAP) are evaluated. I

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date research results in this fastmoving area. ..High Performance Data Mining: Scaling Algorithms, Applicationsand. .Systems. serves as an excellent reference, providinginsight into some of the most challenging research issues in thefield.978-1-4757-8415-2978-0-306-47011-0