English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51258/86283 (59%)
Visitors : 8026741      Online Users : 104
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: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/89142

    Title: Evaluating Churn Model in CRM: A Case Study in Telecom
    Authors: Lin, Shun-Chieh;Tung, Chun-Ho;Jan, Nien-Yi;Chiang, Ding-An
    Contributors: 淡江大學資訊工程學系
    Keywords: churn management;data mining;customer retention
    Date: 2011-11
    Issue Date: 2013-05-22 09:37:22 (UTC+8)
    Publisher: Gyeongju-si: Advanced Institute of Convergence I T
    Abstract: Global competition has raised the cost of acquiring new customers, making it imperative to determine which customers are likely to churn. Although many researchers proposed many different techniques to construct good churn models, none of them focus on evaluating models effectiveness for real marketing activities and the verification process in real case. In this paper, we proposed three measurements to evaluate churn models in telecom industry. We propose modification measure, effectiveness measure, and cost benefits analysis to aid in evaluating the execution effectiveness for adjusting the data mining models or redesign marketing activities. An experimental architecture on telecom churn management application in real world is designed to evaluate the effectiveness of the discovered churn models. Not only the data mining models but also the retention activities influence the results of the churn management. The proposed experimental architecture can be a pilot project for real application in any CRM system. For those models which need be adjusted, the solution of models or marketing activity according to the effectiveness measures. In the future, we will focus integrating more domain knowledge, business considerations, and mining models into this system and solve the critical problems is customer relationship management in real business applications.
    Relation: Journal of Convergence Information Technology 6(11), pp.192-200
    DOI: 10.4156/jcit.vol6.issue11.22
    Appears in Collections:[資訊工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat

    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