Title :
An Intelligent Financial Early Warning System Model Based on Data Mining for SMEs
Author :
Koyuncugil, Ali Serhan ; Ozgulbas, Nermin
Author_Institution :
Res. Dept., Capital Markets Board of Turkey, Ankara, Turkey
Abstract :
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 worldpsilas 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.
Keywords :
data mining; decision trees; financial data processing; small-to-medium enterprises; Chi-Square Automatic Interaction Detector; SMEs; Turkish economy; data mining; decision tree algorithm; economic growth; finance; intelligent financial early warning system model; Alarm systems; Data mining; Decision trees; Employment; Europe; Finance; Financial management; Globalization; Investments; Power generation economics; CHAID Decision Tree Algorithm; Data Mining; SMEs; financial early warning system; intelligent systems;
Conference_Titel :
Future Computer and Communication, 2009. ICFCC 2009. International Conference on
Conference_Location :
Kuala Lumpar
Print_ISBN :
978-0-7695-3591-3
DOI :
10.1109/ICFCC.2009.118
