@article{(Open Science Index):https://publications.waset.org/pdf/12977,
	  title     = {A Data Mining Model for Detecting Financial and Operational Risk Indicators of SMEs},
	  author    = {Ali Serhan Koyuncugil and  Nermin Ozgulbas},
	  country	= {},
	  institution	= {},
	  abstract     = {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).
},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {2},
	  number    = {10},
	  year      = {2008},
	  pages     = {1082 - 1085},
	  ee        = {https://publications.waset.org/pdf/12977},
	  url   	= {https://publications.waset.org/vol/22},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 22, 2008},
	}