Application of Data Mining methods in analysis of company's activity
Tyurina Dina N. ()
Additional contact information
Tyurina Dina N.: Kharkiv Institute of Finance of the Ukrainian State University of Finance and International Trade
Business Inform, 2013, issue 3, 125_129
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.
Keywords: statistical methods; Data Mining means; forecasting; classification; clusterisation; search for alternative rules. (search for similar items in EconPapers)
Date: 2013
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.business-inform.net/pdf/2013/3_0/125_129.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:idp:bizinf:y:2013:i:3:p:125_129
Access Statistics for this article
Business Inform is currently edited by Ponomarenko Vladimir S.
More articles in Business Inform from RESEARCH CENTRE FOR INDUSTRIAL DEVELOPMENT PROBLEMS of NAS (KHARKIV, UKRAINE), Kharkiv National University of Economics
Bibliographic data for series maintained by Khaustova Viktoriia ().