Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing

Authors
Chien-Chih Yu1, Cheng-Su Wang
1National ChengChi University,Dept. Of Management Information
Corresponding Author
Chien-Chih Yu
Available Online October 2006.
DOI
10.2991/jcis.2006.43How to use a DOI?
Keywords
Returns policy, data mining, marketing strategy
Abstract

This paper aims at proposing a hybrid mining approach for e-retailers to analyze returns patterns from both the customer and product perspectives, classify customers and products by returns ratios, and then adopt proper returns policies and marketing strategies to the identified classes for reducing returns transactions and sustaining profits. A multi-dimensional data framework and a process model for the hybrid mining approach are presented with a simulated example for validation.

Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
Series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
10.2991/jcis.2006.43
ISSN
1951-6851
DOI
10.2991/jcis.2006.43How to use a DOI?
Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Chien-Chih Yu
AU  - Cheng-Su Wang
PY  - 2006/10
DA  - 2006/10
TI  - A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 176
EP  - 179
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.43
DO  - 10.2991/jcis.2006.43
ID  - Yu2006/10
ER  -