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基于空间分割的SWRL数据集关联规则挖掘
引用本文:袁柳,李战怀,陈世亮.基于空间分割的SWRL数据集关联规则挖掘[J].计算机科学,2008,35(5):147-151.
作者姓名:袁柳  李战怀  陈世亮
作者单位:西北工业大学计算机学院,西安,710072
摘    要:语义Web环境下的关联规则挖掘是数据挖掘领域新的研究热点.本文针对SWRL数据集的特征,建立新的数据挖掘形式背景,将FCA用于关系型关联规则的挖掘,提出了基于搜索空间分割的关联规则挖掘方法.采用FCA作为频繁模式的压缩表示方式,从生成的闭查询导出的关联规则,可有效控制冗余规则的产生.将搜索空间进行划分可减小问题的规模,充分利用已有的挖掘过程的中间结果所提供的信息,减少了计算量.由于采用了分而治之的策略,本文的方法易于扩展到对海量语义Web数据的并行处理.

关 键 词:SWRL  FCA  关联规则

Search Space Partition-based Association Rules Mining from SWRL Data Set
YUAN Liu,LI Zhan-huai,CHEN Shi-liang.Search Space Partition-based Association Rules Mining from SWRL Data Set[J].Computer Science,2008,35(5):147-151.
Authors:YUAN Liu  LI Zhan-huai  CHEN Shi-liang
Affiliation:YUAN Liu LI Zhan-huai CHEN Shi-liang (School of Computer Science,Northwestern Polytechnical University,Xi'an 710072,China)
Abstract:Association rules mining in Semantic Web is a new challenge for data mining researchers.A search space partition based association rules mining method for SWRL data set is proposed.FCA is adopted as the condenaed repre- sentation of frequent patterns with conjunctive query formation,association rules induced from closed query can avoid producing redundant rules in semantic.Search space partition can divide the large scale problem into small parts,com- putation results obtained during mining procedure are al...
Keywords:SWRL  FCA  Association rules  
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