| 关联规则挖掘研究述评 |
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| 引用本文： | 贾彩燕,倪现君. 关联规则挖掘研究述评[J]. 计算机科学, 2003, 30(4): 145-149 |
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| 作者姓名： | 贾彩燕 倪现君 |
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| 作者单位： | 中国科学院计算技术所智能信息处理重点实验室 北京 100080 |
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| 摘 要： | 1 引言近年来,数据挖掘(又称为数据库中知识发现,KDD)引起了信息产业界的极大关注。关联规则挖掘作为数据挖掘的一种重要模式,已成为数据挖掘领域的一个非常重要的研究课题。它在商务管理、生产控制、市场分析、工程设计、科学探索等领域都有着重要的应用,目前又逐渐向生物医药、金融分析、电信等领域渗透。
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| 关 键 词： | Data mining Database Association rules Apriori algorithm |
Association Rule Mining: A Survey |
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| JIA Cai-Yan NT Xian-Jun. Association Rule Mining: A Survey[J]. Computer Science, 2003, 30(4): 145-149 |
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| Authors: | JIA Cai-Yan NT Xian-Jun |
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| Abstract: | Association rule mining has been one of the most popular data mining subejcts and has a wide range of applicability. In this paper, we first investigate the main approaches for the task of association rule mining, and analyzed the essence of the algorithms. Then we review foundations of assocation rule mining based on the several possible theoretical frameworks for data mining. What's more,we show the open problems in field of the association rule mining and figure out the tendency of its development in recent years. |
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| Keywords: | Data mining Database Association rules Apriori algorithm |
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