政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/10254

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政大機構典藏 > 商學院 > 企業管理學系 > 期刊論文 > Item 140.119/10254

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题名:	Market basket analysis in a multiple store environment
作者:	Chen, Yen-Liang;Tang, Kwei;Shen, Ren-Jie;Hua, Ya-Han 唐揆企管系
关键词:	Association rules;Data mining;Store chain;Algorithm
日期:	2005-08
上传时间:	2008-11-25 10:41:18 (UTC+8)
摘要:	Market basket analysis (also known as association-rule mining) is a useful method of discovering customer purchasing patterns by extracting associations or co-occurrences from stores` transactional databases. Because the information obtained from the analysis can be used in forming marketing, sales, service, and operation strategies, it has drawn increased research interest. The existing methods, however, may fail to discover important purchasing patterns in a multi-store environment, because of an implicit assumption that products under consideration are on shelf all the time across all stores. In this paper, we propose a new method to overcome this weakness. Our empirical evaluation shows that the proposed method is computationally efficient, and that it has advantage over the traditional method when stores are diverse in size, product mix changes rapidly over time, and larger numbers of stores and periods are considered.
關聯:	Decision Support Systems Volume 40, Issue 2, August 2005, Pages 339–354
数据类型:	article
DOI 連結:	http://dx.doi.org/10.1016/j.dss.2004.04.009
DOI:	10.1016/j.dss.2004.04.009
显示于类别:	[企業管理學系] 期刊論文

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