ASIA unversity:Item 310904400/18263
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 92376/107655 (86%)
Visitors : 18943148      Online Users : 356
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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:

    Title: Data Mining Techniques in Customer Churn Prediction
    Authors: 蔡志豐;Tsai, Chih-Fong;盧鈺欣;Lu, Yu-Hsin
    Contributors: 會計與資訊學系
    Keywords: Churn prediction, data mining, customer relationship management.
    Date: 2010
    Issue Date: 2012-11-26 12:34:13 (UTC+8)
    Abstract: "Customer churn prediction is one of the most important problems in customer relationship management
    (CRM). Its aim is to retain valuable customers to maximize the profit of a company. To predict whether a customer will
    be a churner or non-churner, there are a number of data mining techniques applied for churn prediction, such as artificial
    neural networks, decision trees, and support vector machines. This paper reviews some recent patents along with 21
    related studies published from 2000 to 2009 and compares them in terms of the domain dataset used, data pre-processing
    and prediction techniques considered, etc. Future research issues are discussed."
    Relation: Recent Patents on Computer Science
    Appears in Collections:[Department of Accounting and Information Systems] Journal Article

    Files in This Item:

    File Description SizeFormat
    0004CSENG.pdf73KbAdobe PDF4946View/Open

    All items in ASIAIR are protected by copyright, with all rights reserved.

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