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

A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing

Authors
Chien-Chih Yu 0, Cheng-Su Wang
Corresponding Author
Chien-Chih Yu
0National ChengChi University,Dept. Of Management Information
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
9th Joint International Conference on Information Sciences (JCIS-06)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.43How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

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  - 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.43
DO  - https://doi.org/10.2991/jcis.2006.43
ID  - Yu2006/10
ER  -