An Intelligent Financial Early Warning System Model Based on Data Mining for SMEs

The aim of this study is to develop an intelligent financial early warning system model based on data mining for SMEs in Turkey. SMEs have made an important contribution to world's rapid economic growth and the fast industrialization process. SMEs play a major role in Turkish economy and the main issue of the SMEs is finance. Therefore, developing an intelligent financial early warning system is vital for SMEs. Model has 5 steps and is based on a data mining method Chi-Square Automatic Interaction Detector (CHAID) decision tree algorithm.