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基于相关集合的数据挖掘理论基础研究 被引量:4
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作者 王晓峰 王天然 《计算机科学》 CSCD 北大核心 2003年第7期161-164,共4页
The plausibility relation which is generalization of fuzzy relation and probabilistic relation is proposed in thepaper. We think data mining to be a process of finding the plausibility relation in database and correla... The plausibility relation which is generalization of fuzzy relation and probabilistic relation is proposed in thepaper. We think data mining to be a process of finding the plausibility relation in database and correlativity measure tobe a particular plausibility relation based on correlativity sets. The critical calculates such as the accuracy of the roughsets, the confidence and the bayesian form in data mining can be united using the correlativity measure. The GPDM(General Process of Data Mining)that represents the nature of data mining is also proposed. The data mining theoreti-cal foundation and frameworks based on correlativity sets are also given and discussed in the paper. 展开更多
关键词 数据库 数据挖掘 理论基础 概念空间 知识发现 相关集合算法
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