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Detecting Topics from Twitter Posts During TV Program Viewing.

, и . ICDM Workshops, стр. 714-719. IEEE Computer Society, (2013)

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The Future Direction of New Computing Environment for Exabyte Data in the Business World., , , и . SAINT Workshops, стр. 316-319. IEEE Computer Society, (2005)Business Application for Sales Transaction Data by Using Genome Analysis Technology., , и . Discovery Science, том 2843 из Lecture Notes in Computer Science, стр. 208-219. Springer, (2003)A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History., , , и . Progress in Discovery Science, том 2281 из Lecture Notes in Computer Science, стр. 565-575. Springer, (2002)Data Mining Oriented System for Business Applications., , и . Discovery Science, том 1532 из Lecture Notes in Computer Science, стр. 441-442. Springer, (1998)Mining Pharmacy Data Helps to Make Profits., , , и . Data Min. Knowl. Discov., 2 (4): 391-398 (1998)Detecting Topics from Twitter Posts During TV Program Viewing., и . ICDM Workshops, стр. 714-719. IEEE Computer Society, (2013)Micro-Clustering: Finding Small Clusters in Large Diversity., , , , , и . CoRR, (2015)Data Mining Oriented CRM Systems Based on MUSASHI: C-MUSASHI., , , , , , и . Active Mining, том 3430 из Lecture Notes in Computer Science, стр. 152-173. Springer, (2003)Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming., , , , и . Discovery Science, том 1721 из Lecture Notes in Computer Science, стр. 148-159. Springer, (1999)Discovering Interpretable Rules that Explain Customers' Brand Choice Behavior., , и . Discovery Science, том 1967 из Lecture Notes in Computer Science, стр. 263-267. Springer, (2000)