English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62805/95882 (66%)
Visitors : 3865998      Online Users : 277
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/17387

    Title: Discover Sequential Patterns in Incremental Database
    Authors: Lin, Nancy P.;Hao, Wei Hua;Chen, Hung Jen;Chueh, Hao En;Chang, Chung I
    Contributors: 淡江大學資訊工程學系;軍訓室
    Keywords: Data mining;Sequential patterns;condensed representations;Maximal sequential patterns
    Date: 2007-11
    Issue Date: 2013-06-07 10:47:25 (UTC+8)
    Publisher: Braga: North Atlantic University Union
    Abstract: The task of sequential pattern mining is to discover the complete set of sequential patterns in a given sequence database with minimum support threshold. But in practice, minimum support some time is defined afterward, or need to be adjusted to discover information that interest to knowledge workers. In the same time, the problem of discover sequential patterns in a incremental database is an essential issue in real world practice of datamining. This paper discusses the issue of maintaining discovered sequential patterns when some information is appended to a sequence database. Many previous works based on Apriori-like approaches are not capable to do so without re-running previously presented algorithms on the whole updated database. We propose a novel algorithm, called DSPID, which takes full advantage of the information obtained from previous mining results to cut down the cost of finding new sequential patterns in an incremental database.
    Relation: International Journal of Computers 4(1), pp.197-201
    Appears in Collections:[Office of Military Education and Training] Journal Article
    [Graduate Institute & Department of Computer Science and Information Engineering] Journal Article

    Files in This Item:

    File Description SizeFormat
    Discover Sequential Patterns in Incremental Database.pdf370KbAdobe PDF50View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback