The invention relates to the technology of enterprise data analysis and user power utilization behavior identification, belongs to the field of marketization load prediction and particularly relates to a data change identification network based on cost correlation and a classifier point distribution method thereof. Through enterprise data, each classifier of a data change identification network ina data stream in use is put on a data item, wherein the data item comprises original data, intermediate generation data and decision data; each data item is put on the classifier; the classier and the placement position of the classifier form a data change identification network; data directly obtained from an external or physical sensor is original data and is stored in numerous different original databases; on the basis of each flow link and intermediate decision requirements, an enterprise generates numerous intermediate generation data; and the decision layer of the enterprise carries outstatistical calculation to generate decision data. On the premise of guaranteeing identification accuracy, the point distribution cost of a data transaction identification network is minimized, an accurate guarantee is provided for enterprise detail data identification, and operation monitoring cost is lowered.