Development of a proactive method for fraud detectionin in Telecommunication Company
The paper presents the results of research on consumer fraud detection in telecom. The basic idea is in proactive detection of fraud situations based on users’ behaviour analysis. The approach based on the assembling of machine learning algorithms is proposed. Synthetic data sets containing Call Detail Records are used for training and testing algorithms. The choice of the best algorithm is made based on searching of hyperparameters with cross-validation. It is shown, that SVM is the most efficient algorithm for the certain data set. The distributed architecture of the fraud detection system was presented which implements the described approach.