| Document Date: 2012-03-04 22:18:51
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/ Facility University of Moncton / / IndustryTerm pattern mining algorithm / search strategies / sequential rule mining / potential applications / sequential pattern mining / association rule mining / frequent pattern mining / web store language utterances / e-learning / search strategy / topk algorithm / data mining / mining / pattern mining algorithms / data mining algorithms / sequential rule mining algorithm / rule mining / search space / drought management / rule mining algorithms / / OperatingSystem Windows XP / / Organization National Cheng Kung University / University of Moncton / / Person Vincent S. Tseng Dep / / ProgrammingLanguage Java / / Technology pattern mining algorithms / 2.53 Ghz processor / topk algorithm / RAM / sequential rule mining algorithm / resulting algorithm / pattern mining algorithm / Java / TopSeqRules algorithm / mining algorithm / data mining algorithms / Sequential rule mining algorithms / data mining / e-learning / 3.4 Extensions The TopSeqRules algorithm / L. The algorithm / / URL http /
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Mining Top-K Sequential Rules Philippe Fournier-Viger1 and Vincent S. Tseng Dep. of Computer Science and Information Engineering, National Cheng Kung University , Abstract.