Titlebook: Knowledge Management and Acquisition for Intelligent Systems; 14th Pacific Rim Kno Hayato Ohwada,Kenichi Yoshida Conference proceedings 201

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A New Hybrid Rough Set and Soft Set Parameter Reduction Method for Spam E-Mail Classification Taskd alternatives against the spam attacks. Different approaches, software and methods had been proposed in order to protect the Internet users from spam. This proposed work was inspired by the rough set theory, which was proven effective in handling uncertainties and large data set and also by the sof

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Specialized Review Selection Using Topic ModelsIn recent years, the research in review selection has attracted considerable attention. Many of the existing works attempted to identify a number of statistical features related to review text such as word count (Mudambi and Schuff .) and hidden relations between these features and review quality by

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