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数据挖掘在网上商店中的应用研究 被引量:2

Study of Application Data Mining to Online Store
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摘要 为了解决网上商店中商品显示次序的问题,在分析关联规则的挖掘原理及基本算法的基础上,提出了一种评估关联规则中两商品间相互"促销"关系的方法,并通过具体的例子说明了其应用过程,达到了网上商店中商品信息显示次序的优化目的。 In order to solve the commodity demonstration order question on the network store, basing on analysis the principle of data mining and the basic algorithm from connective rules, a method is put forward to estimate the relation of mutual promotion sale for two kinds of commodities from connective rules. Using a specific example, the application process is showed and the optimized goal of the commodity information demonstration order has achieved on online store.
作者 贺宗梅
机构地区 长沙民政学院
出处 《科学技术与工程》 2009年第10期2781-2785,共5页 Science Technology and Engineering
关键词 数据挖掘 关联规则 关联评估 网上商店 data mining relative rule connective estimate online store
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参考文献3

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