| 基于关联规则的数据挖掘技术研究与展望 |
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| 引用本文： | 王举辉. 基于关联规则的数据挖掘技术研究与展望[J]. 信息技术与信息化, 2005, 0(5): 39-40 |
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| 作者姓名： | 王举辉 |
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| 作者单位： | 山东理工大学计算机学院,山东淄博,255000 |
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| 摘 要： | 本文描述了数据挖掘的过程,对关联规则挖掘的核心算法及常用的优化方法进行了研究,最后通过一个例子介绍了关联规则分析在数据挖掘中的应用,并展望了数据挖掘的发展趋势及热点研究.
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| 关 键 词： | 数据挖掘 关联规则 Apriori算法 频集 支持度 信任度 |
Studying and Forecasting of Data Mining Technology based on Association Rules |
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| WANG Ju-hui. Studying and Forecasting of Data Mining Technology based on Association Rules[J]. Information Technology & Informatization, 2005, 0(5): 39-40 |
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| Authors: | WANG Ju-hui |
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| Affiliation: | WANG Ju-hui |
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| Abstract: | This paper describes the course of data mining, and studies the core algorithm and the common improving methods of Association Rules. At the end the paper introduces a use of Association Rules analysis on data mining by an example, and forecasts the development direction and interest studying of data mining. |
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| Keywords: | Data mining Association Rules Apriori algorithm Frequent Itemset Support confidence |
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