We designed to discover the similarities between electronic transactions.This research aims to use two statistical methods: Artificial Neural Networks, Binary Logistic Regression and comparison of them with criteria to reach the best model for detecting.However, the design of fraud detection algorithms is a challenge due to the extremely unstable and unbalanced distribution of data and the availability of a few transactions described by fraud investigators.