| Apriori_Q:关联规则的有效求解 |
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| 引用本文： | 祁治,张晓龙. Apriori_Q:关联规则的有效求解[J]. 武汉科技大学学报(自然科学版), 2005, 28(4): 399-402 |
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| 作者姓名： | 祁治 张晓龙 |
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| 作者单位： | 武汉科技大学计算机科学与技术学院,湖北,武汉,430081 |
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| 基金项目： | 湖北省教育厅科研基金资助项目（2004]）006）. |
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| 摘 要： | 通过对Apriori算法的分析，提出了一种关联规则挖掘的改进算法Apriori_Q。该改进算法减少了模式匹配和对数据库访问的次数，理论分析与实验结果表明，Apriori_Q提高了关联规则生成的效率，因而更具有实用价值。
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| 关 键 词： | 数据挖掘 关联规则挖掘 Apriori算法 |
| 文章编号： | 1672-3090(2005)04-0399-04 |
| 收稿时间： | 2004-12-02 |
| 修稿时间： | 2004-12-02 |
Apriori_Q :Solution for Minging Association Rule |
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| QI Zhi,ZHANG Xiao-long. Apriori_Q :Solution for Minging Association Rule[J]. Journal of Wuhan University of Science and Technology(Natural Science Edition), 2005, 28(4): 399-402 |
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| Authors: | QI Zhi ZHANG Xiao-long |
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| Affiliation: | College of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China |
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| Abstract: | The mining of association rules is the main method of data mining. This paper presents an algorithm Apriori_Q for mining association rule, which is an improvement of the existing Apriori method by reducing the times of database visit and of pattern-match. Theoretical analysis and experimental results show that Apriori Q outperforms Apriori in association rule mining, suggesting wider area of application. |
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| Keywords: | data mining association rule mining Apriori algorithm |
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