BUSINESS INFORM №3-2013

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21

Section: Information Technologies in the Economy
UDC 311.2
Tiurina D. M.
Application of Data Mining methods in analysis of company’s activity (p. 125 - 129)
The article considers expediency of application of Data Mining means along with traditional statistical methods of analysis of financial and economic activity of a company for revealing all possible factors that influence upon effectiveness of its functioning by means of solving clusterisation tasks. It shows main advantages of application of Data Mining means in analysis of company’s activity. It offers an algorithm of conduction analysis of company’s activity, which facilitates significant increase of effectiveness of its activity.
Keywords: statistical methods, Data Mining means, forecasting, classification, clusterisation, search for alternative rules.
Fig.: 1. Bibl.: 8.

Tiurina Dina M. – Candidate of Sciences (Pedagogy), Associate Professor, Department of Accounting, Audit and Economic Analysis, Kharkiv Institute of Finance of the Kyiv National University of Trade and Economics (5 Pletnovskyi Lane, Kharkіv, 61003, Ukraine)
Email: [email protected]

Article is written in Russian
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Reference to this article:
Tiurina, Dina M. (2013) “Application of Data Mining methods in analysis of company’s activity.” Business Inform 3:125–129.

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