Estimating Financial Failure of Enterprises With Data Mining and Discriminant Analysis

The actual status of the enterprises is determined by the regularly declared financial statements. by inspecting these financial statements, the financial success conditions of the enterprises are determined. the increase in the number of the financially failed enterprises is the indication of bad utilizing of both their own sources and the sources of the country. therefore forecasting financial failures is important. in this study initially, example, forecasting set and control set are established to build statistical models by determining successful and unsuccessful enterprises. then, the financial failures of 140 industrial companies listed in istanbul stock exchange between 2005-2008 years are forecasted by using control set and data set. in these procedures data mining and discriminate analysis models were used and it is determined which model is giving better results.