title: |
A Hybrid Mining Approach for Optimizing Returns Policies in e Retailing |
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publication: |
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part of series: |
Advances in Intelligent Systems Research | |
ISBN: |
978-90-78677-01-7 | |
ISSN: |
1951-6851 | |
DOI: |
doi:10.2991/jcis.2006.43 (how to use a DOI) | |
author(s): |
Chien-Chih Yu, Cheng-Su Wang |
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corresponding author: |
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publication date: |
October 2006 |
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keywords: |
Returns policy, data mining, marketing strategy |
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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. |
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copyright: |
©
Atlantis Press. This article is distributed under the
terms of the Creative Commons Attribution License, which permits
non-commercial use, distribution and reproduction in any medium,
provided the original work is properly cited. |
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full text: |