Identifying association rules of specific later-marketed products
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- 作者：Cheng-Hsiung Weng ; chweng@mgt.ncu.edu.tw" class="auth_mail" title="E-mail the corresponding author
- 关键词：Data mining ; Association rule ; Later-marketed product ; Marketed time ; Sale association
- 刊名：Applied Soft Computing
- 出版年：2016
- 出版时间：January 2016
- 年：2016
- 卷：38
- 期：Complete
- 页码：518-529
- 全文大小：1150 K
文摘
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Not all products are marketed at the same time. Using traditional approaches for identifying the sale associations between earlier-marketed products and later-marketed product is difficult.
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We propose a new algorithm for identifying association rules of specific later-marketed products by precisely calculating the support values of association rules, which consist of earlier-marketed products and later-marketed product.
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A new measure (TransRate) was designed to prevent generating useless itemsets.
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We applied three data sets to evaluate the performance of the proposed SLMCM algorithm.