A Data Mining Application: Customes Retention at the Port of Singapore Authority (PSA)
KianSing Ng, Huan Liu, HweeBong Kwah
Full Paper (PDF)

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.

References

References, where available, link to the DBLP on the World Wide Web.

[1]
Rakesh Agrawal, Sakti P. Ghosh, Tomasz Imielinski, Balakrishna R. Iyer, Arun N. Swami: An Interval Classifier for Database Mining Applications. VLDB 1992: 560-573
[2]
Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499
[3]
Rakesh Agrawal, Ramakrishnan Srikant: Mining Sequential Patterns. ICDE 1995: 3-14
[4]
Ramakrishnan Srikant, Rakesh Agrawal: Mining Quantitative Association Rules in Large Relational Tables. SIGMOD Conf. 1996: 1-12
[5]
...
[6]
...
[7]
...
[8]
...
[9]
Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431
[10]
Kenji Kira, Larry A. Rendell: The Feature Selection Problem: Traditional Methods and a New Algorithm. AAAI 1992: 129-134
[11]
...
[12]
J. Ross Quinlan: Induction of Decision Trees. Machine Learning 1: 81-106(1986)
[13]
J. Ross Quinlan: C4.5: Programs for Machine Learning. Morgan Kaufmann 1993, ISBN 1-55860-238-0
[14]
...
[15]
...
BIBTEX

@inproceedings{DBLP:conf/sigmod/NgLK98,
author = {KianSing Ng and
Huan Liu and
HweeBong Kwah},
editor = {Laura M. Haas and
Ashutosh Tiwary},
title = {A Data Mining Application: Customes Retention at the Port of
Singapore Authority (PSA)},
booktitle = {SIGMOD 1998, Proceedings ACM SIGMOD International Conference
on Management of Data, June 2-4, 1998, Seattle, Washington, USA},
publisher = {ACM Press},
year = {1998},
isbn = {0-89791-955-5},
pages = {522-525},
crossref = {DBLP:conf/sigmod/98},
bibsource = {DBLP, http://dblp.uni-trier.de}
}


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