A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing

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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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  -