INFORMATION TECHNOLOGIES FOR ANALYZING FINANCIAL ABUSES AT PROZORRO PLATFORM

Authors

  • 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

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Abstract views: 165

Published

2018-06-29

How to Cite

[1]
N. Kuznietsova, “INFORMATION TECHNOLOGIES FOR ANALYZING FINANCIAL ABUSES AT PROZORRO PLATFORM”, Works of VNTU, no. 1, Jun. 2018.

Issue

No. 1 (2018): Scientific Works of VNTU

Section

Information Technologies and Computer Engineering

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