Обчислювальний кластер для запобігання фроду в платіжній системі

Abstract

This work is dedicated to the development of a computing cluster for avoiding of pay system fraud. In the work was done analysis of existed technologies and methods for implementing automated processing of dynamic ungrouped data. As a approach of creating a system was used machine learning and developed a software solution that uses built analysis model to prevent fraud in a payment system.