English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 49931/85107 (59%)
造访人次 : 7781767      在线人数 : 37
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/987654321/77274


    题名: Applying Data Mining Techniques to WIFLY in Customer Relationship Management
    作者: Lin, Cheng-Jung;Chiang, Ding-An;Lai, Sheng-Wei;Wang, Yi-Hsin
    贡献者: 淡江大學資訊工程學系
    关键词: Customer relationship management;marketing;WIFLY;clustering;churn;data mining;decision tree
    日期: 2010
    上传时间: 2012-06-14 10:17:07 (UTC+8)
    出版者: Faisalabad: A N S I Network
    摘要: In recent years, wireless service subscribers are easy and frequent to change from one service provider to another for better service, which is called churn. This study applied data mining techniques to predict customer churn in Customer Relationship Management (CRM) and build predicting model to prevent customer churn. The experimental evaluation results show that customer churn model is effective and efficient. It can help enterprise in predicting the customer churn, building customer loyalty and maximizing enterprise profitability.
    關聯: Information Technology Journal 9(3), pp.488-493
    DOI: 10.3923/itj.2010.488.493
    显示于类别:[資訊工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    1812-5638_9(3)p488-493.pdf1100KbAdobe PDF225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