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

被引：2
|
作者：
Koyuncugil, Ali Serhan [1 ]
Ozgulbas, Nermin [2 ]
机构：
[1] Capital Markets Board Turkey, Res Dept, Ankara, Turkey
[2] Baskent Univ, Dept Healthcare Management, Ankara, Turkey
来源：
INTERNATIONAL CONFERENCE ON FUTURE COMPUTER AND COMMUNICATIONS, PROCEEDINGS | 2009年
关键词：
Data Mining; CHAID Decision Tree Algorithm; financial early warning system; intelligent systems; SMEs;
D O I：
10.1109/ICFCC.2009.118
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
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.
引用
收藏
页码：662 / +
页数：2
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