English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 57310/90918 (63%)
造访人次 : 13021697      在线人数 : 305
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/91963


    题名: Rough Sets Based Association Rules Application for Knowledge-Based System Design
    作者: Liao, Shu-hsien;Chen, Y. J.
    贡献者: 淡江大學管理科學學系
    日期: 2010-03
    上传时间: 2013-08-12 11:59:18 (UTC+8)
    出版者: Berlin, Heidelberg: Springer-Verlag
    摘要: The Internet has emerged as the primary database, and technological platform for electronic business (EB), including the emergence of online retail concerns. Knowledge collection, verification, distribution, storage, and re-use are all essential elements in retail. They are required for decision-making or problem solving by expert consultants, as well as for the accumulation of customers and market knowledge for use by managers in their attempts to increase sales. Previous data mining algorithms usually assumed that input data was precise and clean, this assumes would be eliminated if the best rule for each particular situation. The Algorithm we used in this study however, proved to function even when the input data was vague and unclean. We provided an assessment model of brand trust as an example, to show that the algorithm was able to provide decision makers additional reliable information, in the hope of building a rough set theoretical model and base of resources that would better suit user demand.
    關聯: ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications II, pp.501-510
    显示于类别:[管理科學學系暨研究所] 專書之單篇

    文件中的档案:

    档案 描述 大小格式浏览次数
    Rough sets based association rules application for knowledge-based system design.pdf338KbAdobe PDF333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