淡江大學機構典藏:Item 987654321/106402
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62805/95882 (66%)
造访人次 : 3942520      在线人数 : 997
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/106402


    题名: Fuzzy association rule mining with type-2 membership functions
    作者: Chen, C. H.;Li, Y.;Hong, T. P.
    关键词: Data mining;Fuzzy association rule;Membership functions;Type-2 fuzzy set
    日期: 2015-03-23
    上传时间: 2016-04-27 11:11:57 (UTC+8)
    出版者: Springer International Publishing
    摘要: In this paper, a fuzzy association rule mining approach with type-2
    membership functions is proposed for dealing with data uncertainty. It first
    transfers quantitative values in transactions into type-2 fuzzy values. Then, according
    to a predefined split number of points, they are reduced to type-1 fuzzy
    values. At last, the fuzzy association rules are derived by using these fuzzy values.
    Experiments on a simulated dataset were made to show the effectiveness of
    the proposed approach.
    關聯: Intelligent Information and Database Systems Part II LNAI 9012, pp.128-134
    DOI: 10.1007/978-3-319-15705-4_13
    显示于类别:[資訊工程學系暨研究所] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML240检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

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