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Mining purchasing sequence data for online customer segmentation

Mining purchasing sequence data for online customer segmentation Purchasing behaviour serves as a base for online customer segmentation. Online purchasing behaviour is characterised by purchasing sequences. This paper reviews the existing major techniques of sequence data analysis and discusses their limitations in analysing Online Purchasing Sequences (OPS) for customer segmentation. This paper presents a new data mining method for online customer segmentation and applies this method to an online nutrition product store. The data mining results indicate that the proposed data mining method is effective for online customer segmentation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

Mining purchasing sequence data for online customer segmentation

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-539X
eISSN
1741-5403
Publisher site
See Article on Publisher Site

Abstract

Purchasing behaviour serves as a base for online customer segmentation. Online purchasing behaviour is characterised by purchasing sequences. This paper reviews the existing major techniques of sequence data analysis and discusses their limitations in analysing Online Purchasing Sequences (OPS) for customer segmentation. This paper presents a new data mining method for online customer segmentation and applies this method to an online nutrition product store. The data mining results indicate that the proposed data mining method is effective for online customer segmentation.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2007

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