| 基于频繁集的多层次交互式关联规则挖掘 |
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| 引用本文： | 赵奕,施鹏飞,熊范纶.基于频繁集的多层次交互式关联规则挖掘[J].上海交通大学学报,2000,34(5). |
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| 作者姓名： | 赵奕 施鹏飞 熊范纶 |
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| 作者单位： | 1. 上海交通大学,图像处理与模式识别研究所,上海,200030
2. 中国科学院,合肥智能机械研究所,合肥,230031 |
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| 基金项目： | 国家自然科学基金资助项目! ( 6983 5 0 10 ) |
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| 摘 要： | 定义了一系列关联规则的相关概念 ,然后 ,针对现有的销售事务数据库 ,提出了一种改进的获取多层次信息方法 ,并据此对各数据进行压缩编码 ,减少处理时间 .同时 ,借助频繁集和交互式技术 ,实现多个概念层次交互式挖掘 ,以按用户实际需要提取出其感兴趣的关联规则 ,从而提高了挖掘速度和运行效率
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| 关 键 词： | 数据库 数据挖掘 频繁集 多层次 交互式 关联规则 |
Multiple-Level Interactive Association Rules Mining Based on Frequent Sets |
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| ZHAO Yi,SHI Peng-fei,XIONG Fan-lun.Multiple-Level Interactive Association Rules Mining Based on Frequent Sets[J].Journal of Shanghai Jiaotong University,2000,34(5). |
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| Authors: | ZHAO Yi SHI Peng-fei XIONG Fan-lun |
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| Abstract: | A series of notations relative to association rules was presented.According to the currenttrans- action database,a novel acquisition method of multiple- level taxonomy was proposed.Every transaction was encoded to reduce the processing time.With frequent itemsets and interactive techniques,the associa- tion rules that interest users were derived.The mining process and efficiency are greatly improved. |
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| Keywords: | databases data mining frequent itemset multiple- level interactive association rules |
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