An enterprise financial state estimation based on data mining

  • Authors:

  • Mikhail D. Godlevsky;Sergey V. Orekhov

  • Affiliations:

  • National Technical University "Kharkov Polytechnic Institute" Frunze str. 21 Ukraine,61002 Kharkov;National Technical University "Kharkov Polytechnic Institute" Frunze str. 21 Ukraine,61002 Kharkov

  • Venue:
  • ISTA '01 Proceedings of the 2001 international conference on Information systems technology and its applications - Volume P-2
  • Year:
  • 2002

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Abstract

This paper is concerned with the data mining application to business process automation. A short tutorial on stages of financial analysis of an enterprise is given. A brief description of data mining components for financial analysis of an enterprise is presented in the paper. The main element of data mining application is fuzzy neural system. The structure of fuzzy neural system includes linguistic variable "financial state", neural network and fuzzy rules. The fuzzy neural system forms the financial state estimation based on balance sheets from dataware house of an enterprise. The data mining application has been realized as software in Microsoft Visual Basic 6.0. The sofavare was applied to estimation of financial state of Kharkov (Ukrainian) enterprises in 1999. Finally, the set of enterprises for investment was found.