Modification of the method for analyzing users of e-commerce platforms

The article describes the current conditions of e-Commerce platforms. Problems with the methods used for analyzing users of e-Commerce platforms in order to detect fraudulent transactions were identified. We have developed two methods for analyzing users in order to detect fraudulent payments depending on the available data set: building a system based on the random forest method and an autoencoder.