| Association Rule Mining Algorithm on Improved Market Basket Analysis |
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| 作者姓名： | WANG De-xing HU Xue-gang LIU Xiao-ping WANG Hao |
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| 摘 要： | Association rules mining based on improved traditional market basket analysis is that we introduce the idea of interest-weighed into data processing,normalize the amount of the same kind of commodity purchased by customers in all transactions.According to the demand of users' domain knowledge,we can calculate the interest-weighed threshold,then improve the traditional market basket analysis,association rules are mined much more practical,the workload of(association) rules mining has been reduced,the efficiency and veracity of association rules mining are improved.
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| 关 键 词： | association rules apriori algorithm frequent itemsets data mining |
| 收稿时间： | 2005/12/30 0:00:00 |
| 修稿时间： | 2005/12/30 0:00:00 |
Association Rule Mining Algorithm on Improved Market Basket Analysis |
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| WANG De-xing,HU Xue-gang,LIU Xiao-ping,WANG Hao.Association Rule Mining Algorithm on Improved Market Basket Analysis[J].Storage & Process,2006(4):105-107141. |
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| Authors: | WANG De-xing HU Xue-gang LIU Xiao-ping WANG Hao |
| |
| Abstract: | Association rules mining based on improved traditional market basket analysis is that we introduce the idea of interest-weighed into data processing,normalize the amount of the same kind of commodity purchased by customers in all transactions.According to the demand of users' domain knowledge,we can calculate the interest-weighed threshold,then improve the traditional market basket analysis,association rules are mined much more practical,the workload of(association) rules mining has been reduced,the efficiency and veracity of association rules mining are improved. |
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| Keywords: | association rules apriori algorithm frequent itemsets data mining |
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