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Application of Data Mining methods in analysis of company's activity

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  • Tyurina Dina N.

    ()
    (Kharkiv Institute of Finance of the Ukrainian State University of Finance and International Trade)

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    Abstract

    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.

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    File URL: http://www.business-inform.net/pdf/2013/3_0/125_129.pdf
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    Bibliographic Info

    Article provided by RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics in its journal Business Inform.

    Volume (Year): (2013)
    Issue (Month): 3 ()
    Pages: 125_129

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    Handle: RePEc:idp:bizinf:y:2013:i:3:p:125_129

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    Web page: http://www.business-inform.net

    Related research

    Keywords: statistical methods; Data Mining means; forecasting; classification; clusterisation; search for alternative rules.;

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