CATEGORY BIG DATA MODEL OF THE SOCIO-ECONOMIC SYSTEM

Abstract

The socioeconomic systems in which the tasks of countering the legalization (laundering) of proceeds from crime and the financing of terrorism are solved are considered. An intermediate conclusion is presented and made that it is necessary to synthesize a problem-oriented control subsystem for such systems and tasks. The management tasks that distinguish such a data model in modern conditions are highlighted. It is proposed to use a categorical-theoretic approach for synthesizing a data model, which is free from the mathematical paradoxes of mathematical sets, and is also not limited by the size of the data sample from very large samples, such as big data. The purpose of modeling is to synthesize a mathematical model of big data from a variety of data sources of socioeconomic systems, which provides the classification of objects in interrelation (interaction) with other objects to identify such objects and relationships (interactions) that relate to legalization (laundering) proceeds from crime and financing of terrorism. The input samples are mathematically defined. A mathematical model of big data is synthesized in terms of category theory. The module provides the representation of input data samples in the form (format), which makes it possible to classify objects and categories of socioeconomic systems.