| 产品营销客户信息关联模式挖掘与分析 |
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| 引用本文： | 闫禹,于涧.产品营销客户信息关联模式挖掘与分析[J].沈阳师范大学学报(自然科学版),2006,24(2):202-204. |
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| 作者姓名： | 闫禹 于涧 |
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| 作者单位： | 沈阳师范大学,信息技术学院,辽宁,沈阳,110034 |
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| 摘 要： | 介绍了以关联规则方式对商业销售中客户数据进行分析的方法,实际运用中以某商业网点化妆品销售中客户信息的数据集为例,针对销售客户信息的具体特点给出了一种改进的Apriori算法.实践表明,改进后的Apriori算法,可以减少无意义规则的产生,提高挖掘效率.
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| 关 键 词： | 数据挖掘 关联规则 Apriori算法 |
| 文章编号： | 1673-5862(2006)02-0202-03 |
| 收稿时间： | 2006-01-04 |
| 修稿时间： | 2006年1月4日 |
Asssociation Rules Mining and Analysis of Commercial Customer Information |
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| YAN Yu,YU Jian.Asssociation Rules Mining and Analysis of Commercial Customer Information[J].Journal of Shenyang Normal University: Nat Sci Ed,2006,24(2):202-204. |
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| Authors: | YAN Yu YU Jian |
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| Institution: | College of Information Technology, Shenyang Normal University, Shenyang 110034, China |
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| Abstract: | This article introduced the way to analyse commercial sale data by asssociation rules.In practice a improved Apriori algorithms in given according to the characteristic of customer information connected with the customer data based on an example of one makeup shopping.The practice proves that the improved Apriori algorithms with could avoid invaluable mining result and enhances mining efficiency. |
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| Keywords: | data mining association rules Apriori algorithms |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
