Study of incremental updating fuzzy association mining rules based on flight data
一种飞行数据的模糊关联规则挖掘算法*

This paper used the fuzzy attribute dataset and support of association rule to get more efficient incremental updating association mining rules.Firstly, the input dataset,determined the fuzzy supporting and the center of fuzzy clustering after fuzzy-discreting. Secondly, added the minimum support to the fuzzy attribute dataset when it met the min-support. At last, compared the change of fuzzy frequent attribute and negative boundary to get the dataset and rule. The method avoids time consuming in scanning multilayer repeatly and in dataset.In coclusion, this method can mining the incremental association rules efficiently and correctly.