FRAUDULENT TRANSACTION DETECTION METHOD BASED ON SAMPLE CLUSTERING

摘要

A fraudulent transaction detection method based on sample clustering. The method can identify a fraudulent transaction with greater accuracy. The method comprises: collecting and establishing, on the basis of a sample clustering algorithm, a training sample group and a testing sample group (A1); using the training sample group and the testing sample group to construct and test a plurality of neural network models (A2); and detecting, on the basis of the plurality of trained and tested neural network models, a fraudulent transaction (A3).