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A Machine Learning Algorithm for Analyzing String Patterns Helps to Discover Simple and Interpretable Business Rules from Purchase History.

, , , and . Progress in Discovery Science, volume 2281 of Lecture Notes in Computer Science, page 565-575. Springer, (2002)

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