| 一个改进的Separate算法及其应用 |
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| 引用本文： | 王光,唐恒永.一个改进的Separate算法及其应用[J].辽宁大学学报(自然科学版),2004,31(4):342-345. |
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| 作者姓名： | 王光 唐恒永 |
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| 作者单位： | 沈阳师范大学,数学与系统科学学院,辽宁,沈阳,110034 |
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| 基金项目： | 辽宁省高等学校科学研究项目(202112020)，知识科学与知识管理研究中心资助项目(027) |
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| 摘 要： | 关联规则的挖掘是一个重要的数据挖掘问题,在关联规则的挖掘过程中加入约束条件,是实现用户参与挖掘的一种方式,这样得到的规则是用户所真正关心的,而Separate算法便是这类算法的代表.先对Separate算法进行了改进,从而进一步提高其性能,然后用改进后的算法挖掘实际应用中的一个实例,最后对挖掘结果给出相关决策解释.
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| 关 键 词： | 关联规则 项约束 Separate算法 jion函数. |
| 文章编号： | 1000-5846(2004)04-0342-04 |
An Improved Separate Algorithm and Its Application |
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| WANG Guang,TANG Heng-yong.An Improved Separate Algorithm and Its Application[J].Journal of Liaoning University(Natural Sciences Edition),2004,31(4):342-345. |
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| Authors: | WANG Guang TANG Heng-yong |
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| Abstract: | Mining of the association rules is an important issue in the data mining field. If constratints are added to the mining process. Users could be made to interact with the association rules mining. Therefore, mined results are the association rules that users are really interested in. Among algorithms with costratints, separate is the most typical one. This paper makes some improvements to the separate algorithm to enhance is efficiency. It also applies the improved algorithm to mine a practical case and finally this paper gives some explanations to mined results. |
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| Keywords: | association rules item constratints separate algorithm jion function |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
