摘要
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.
The plausibility relation which is generalization of fuzzy relation and probabilistic relation is proposed in the paper. We think data mining to be a process of finding the plausibility relation in database and correlativity measure to be a particular plausibility relation based on correlativity sets. The critical calculates such as the accuracy of the rough sets, 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 theoretical foundation and frameworks based on correlativity sets are also given and discussed in the paper.
出处
《计算机科学》
CSCD
北大核心
2003年第7期161-164,共4页
Computer Science
基金
自然科学基金重点课题资助(79931000)
863高科技研究发展计划(2001AA413410)
