The invention discloses a
credit card anti-fraud prediction method based on a dual-mode network diagram mining
algorithm. The method concretely comprises the following steps that the
original data ofthe
credit card applicant is acquired and the
original data are converted into the diagram data; the nodes, the edges, the attributes of the nodes and the attributes of the edges required for constructing a dual-mode
network model are selected out of the diagram data through screening; the dual-mode
network model is constructed; a network risk characteristic model is constructed and the probability of network fraud is acquired; the probability of personal fraud is acquired; and the probability of network fraud and the probability of personal fraud are integrated so as to obtain the fraud
prediction probability of the
credit card applicant. The
multidimensional data information related to the applicant is collected, the credit card application
field data knowledge map is constructed, the dual-mode
network model capable of reflecting the correlation between the clients is acquired and the influence of the individual and group risk on the applicant fraud probability can be accurately integrated so that the risk of identity forgery, group fraud and group
attack can be effectively reduced, and the financial anti-fraud
risk control capacity can be enhanced.