| 基于交易数据库的关联规则生成算法FAS及其应用 |
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| 引用本文： | 刘萍,别荣芳.基于交易数据库的关联规则生成算法FAS及其应用[J].计算机应用,2005,25(6):1376-1378,1381. |
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| 作者姓名： | 刘萍 别荣芳 |
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| 作者单位： | 1. 中国人民大学,网络与教育技术中心,北京,100872
2. 北京师范大学,信息科学学院,北京,100875Z |
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| 基金项目： | 国家自然科学基金资助项目(60273015,10001006) |
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| 摘 要： | 生成关联规则算法FAS，能够迅速区分某频繁项集的所有关联规则的前件和后件，生成给定频繁项目集的关联规则。基于FAS算法，设计并实现了一个基于最近挖掘结果的数据挖掘系统AR—Miner。该系统主要包括数据预处理、频繁集初始计算、频繁集更新计算、频繁集选择、关联规则生成五部分，不仅实现了关联规则挖掘的可视化和生成结果按“支持度一可信度”形式的可视化，还为基于频繁集的交互式挖掘提供了方便、友好的界面。
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| 关 键 词： | 数据挖掘 关联规则 频繁项集 |
| 文章编号： | 1001-9081(2005)06-1376-03 |
Association rules mining algorithm FAS and it's application |
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| LIU Ping,BIE Rong-fang.Association rules mining algorithm FAS and it''''s application[J].journal of Computer Applications,2005,25(6):1376-1378,1381. |
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| Authors: | LIU Ping BIE Rong-fang |
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| Affiliation: | LIU Ping 1,BIE Rong-fang 21. Network Center,Renmin University of China,Beijing 100872,China, 2. College of Information Science,Beijing Normal University,Beijing 100875,China) |
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| Abstract: | An association rules mining alogorithm FAS was proposed . It rapidly distinguishes in a certain frequent itemset all the formers and the latters which were used to generate association rules. A FAS-based data mining system AR_Miner with the latest mining results were also designed. It consists of five parts: Data Preprocessing, Initial calculation of frequent itemsets, Update calculation of frequent itemsets, Choice of frequent itemsets and generation of association rules. It not only visualized generated results in support-confidence form, but also provided an easily accessible and user-friendly interface for interactive mining based on frequent itemsets. |
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| Keywords: | data mining association rules frequent itemsets |
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