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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/45516

    Title: Goal-oriented sequential pattern for network banking churn analysis
    Authors: 蔣定安;Chiang, Ding-an;Wang, Yi-fan;Lee, Shao-lun;Lin, Cheng-jung
    Contributors: 淡江大學資訊工程學系
    Keywords: Data mining;Association rule;Sequential pattern;Goal-oriented;Retention analysis
    Date: 2003-01-01
    Issue Date: 2010-03-26 19:27:13 (UTC+8)
    Publisher: Elsevier
    Abstract: Discovering sequential patterns is one of the most important task in data mining. In this paper we propose an efficient algorithm, called Goal-oriented sequential pattern. It can provide enterprises warning signs soon before they are losing valuable customers and give them reference for decision making. Experiments comparing Apriori showed that Goal-oriented is more efficient, and performs reasonably well for the rules.
    Relation: Expert Systems With Applications 25(3), pp.293-302
    DOI: 10.1016/S0957-4174(03)00073-3
    Appears in Collections:[Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

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