INFORMATION TECHNOLOGIES FOR ANALYZING FINANCIAL ABUSES AT PROZORRO PLATFORM

  • Nataliya Kuznietsova The Institute of Applied System Analysis of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”
Keywords: logistic regression, neural networks, tender purchases, ProZorro, information technologies

Abstract

The paper shows the possibilities of analyzing on-line purchases at ProZorro platform by the data mining methods with the aim to identify the behavior of companies and characteristics by which it is possible to reveal a collusion and unlawful activities during their participation in on-line trading.

Author Biography

Nataliya Kuznietsova, The Institute of Applied System Analysis of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Cand. Sc. (Eng.), Ass. Prof. of the Department of Mathematical Methods of System Analysis

Published
2018-06-29
How to Cite
[1]
N. Kuznietsova, “INFORMATION TECHNOLOGIES FOR ANALYZING FINANCIAL ABUSES AT PROZORRO PLATFORM”, SWVNTU, no. 1, Jun. 2018.
Section
Information Technologies and Computer Engineering