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A Data Mining Model for Detecting Financial and Operational Risk Indicators of SMEs

Authors: Ali Serhan Koyuncugil, Nermin Ozgulbas


In this paper, a data mining model to SMEs for detecting financial and operational risk indicators by data mining is presenting. The identification of the risk factors by clarifying the relationship between the variables defines the discovery of knowledge from the financial and operational variables. Automatic and estimation oriented information discovery process coincides the definition of data mining. During the formation of model; an easy to understand, easy to interpret and easy to apply utilitarian model that is far from the requirement of theoretical background is targeted by the discovery of the implicit relationships between the data and the identification of effect level of every factor. In addition, this paper is based on a project which was funded by The Scientific and Technological Research Council of Turkey (TUBITAK).

Keywords: Data Mining, Risk management, SMEs, operational risk, financial risk, Financial Early Warning System, CHAID Decision Tree Algorithm

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[1] OECD, Small and Medium-Sized Enterprises In Turkey Issues And Policies Organization For Economic Co-Operation And Development, OECD Press. 2004.
[2] EU.Analysis of Competitiveness. htm. 2008.
[3] Turkish Statistic Institute (TSI). General Industrial Enterprise Census. 2006.
[4] Bank for International Settlements. Basel II: Revised international capital framework. 2008
[5] Central Bank of the Republic of Turkey (CBRT). 2008.
[6] B. Kovalerchuk .and E. Vityaev, Data Mining in Finance. USA: Kluwer Academic Publisher, Hingham MA., 2000.
[7] L. Breiman, J. H. Freidman, R. A. Olshen and Stone, C. J. Classification and Regression Trees. Wadsworth. 1984.
[8] K. Thearling. 2005
[9] A. S. Koyuncugil, Fuzzy Data Mining and its application to capital markets. Ph.D. dissertation, Dept. Statistics, Ankara University, Ankara, Turkey, 2006.
[10] A. S. Koyuncugil. and N. Ozgulbas. Early Warning System for SMEs as a financial risk detector in Data Mining Applications for Empowering Knowledge Societies. Hakikur Rahman, Ed, Idea Group Inc., USA, 2008.
[11] A. Berson, S. Smith, and K. Thearling, Building Data Mining Applications for CRM. McGraw-Hill, USA. 2000.