| 关联规则与聚类分析在超市中的应用研究 |
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| 引用本文： | 余承乐,柳炳祥.关联规则与聚类分析在超市中的应用研究[J].电脑开发与应用,2012,25(8):19-20,23. |
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| 作者姓名： | 余承乐 柳炳祥 |
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| 作者单位： | 景德镇陶瓷学院信息工程学院,江西景德镇,333403 |
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| 基金项目： | 江西省教育厅科研基金资助项目 |
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| 摘 要： | 数据挖掘是商务智能中经常使用的一项重要技术,企业在其整个运营过程中,积累了庞大的数据信息,决策者们所需要的信息往往就隐藏在里面,数据挖掘的目的就是如何有效地处理这些数据。在介绍数据挖掘与商务智能的基础上,讨论了关联规则的Apriori算法和聚类分析的K-means算法,结合数据挖掘软件Clementine分析了这两种算法在超市中的挖掘过程,得出一些有益的结论。
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| 关 键 词： | 数据挖掘 商务智能 关联规则 聚类分析 |
Application of Association Rules and Cluster Analysis in Supermarket |
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| YU Cheng-le
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LIU Bing-xiang.Application of Association Rules and Cluster Analysis in Supermarket[J].Computer Development & Applications,2012,25(8):19-20,23. |
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| Authors: | YU Cheng-le LIU Bing-xiang |
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| Affiliation: | (School of Information Engineering,Jingdezhen Ceramic Institute,Jingdezhen 333403,China) |
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| Abstract: | Data mining is an important technology,which is often used in business intelligence.Enterprises have accumulated large amount of data during the operation process,the information they need are usually hid in data mining.Therefore,how to deal with these data is the purpose of data mining.The essay analyzes the application of data mining in business intelligence,combined with Clementine software to analyze the specific application of association rules and cluster analysis in the supermarket. |
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| Keywords: | data mining business intelligence association rules cluster analysis |
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