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

fYear

2009

fDate

3-5 April 2009

Firstpage

662

Lastpage

666

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computer and Communication, 2009. ICFCC 2009. International Conference on

Conference_Location

Kuala Lumpar

Print_ISBN

978-0-7695-3591-3

Type

conf

DOI

10.1109/ICFCC.2009.118

Filename

5189866