Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/99492
Title: Data mining application: Customer retention at the Port of Singapore Authority (PSA)
Authors: Ng, KianSing
Liu, Huan 
Kwah, HweeBong
Issue Date: Jun-1998
Citation: Ng, KianSing,Liu, Huan,Kwah, HweeBong (1998-06). Data mining application: Customer retention at the Port of Singapore Authority (PSA). SIGMOD Record (ACM Special Interest Group on Management of Data) 27 (2) : 522-525. ScholarBank@NUS Repository.
Abstract: `Customer retention' is an important real-world problem in many sales and services related industries today. This work illustrates how we can integrate the various techniques of data-mining, such as decision-tree induction, deviation analysis and multiple concept-level association rules to form an intuitive and novel approach to gauging customer's loyalty and predicting their likelihood of defection. Immediate action taken against these `early-warnings' is often the key to the eventual retention or loss of the customers involved.
Source Title: SIGMOD Record (ACM Special Interest Group on Management of Data)
URI: http://scholarbank.nus.edu.sg/handle/10635/99492
ISSN: 01635808
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

76
checked on Nov 23, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.