Data Mining Algorithm Based on Non-linear Correlation Discovery
基于非线性相关发现的数据挖掘算法

The existing arithmetic of association rules mining techniques all do take up with searching the frequent setting,especially on the basis of support-believe degree set beforehand.So the searching has much more chance going against control.In addition,the association rules are out of correlatino of holistic data.Importing the concept of non-linear correlation.applying to different kinds of rules mining,which conquered those shortcoming discussed above.The proposed method need not set parameter man-made,and it enhances the substantial results of finding the rules greatly.