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

A. S. Koyuncugil, N. Ozgulbas
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引用次数: 10

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 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.
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基于数据挖掘的中小企业财务智能预警系统模型
本研究的目的是为土耳其中小企业开发一个基于数据挖掘的智能财务预警系统模型。中小企业为世界经济的快速增长和工业化进程作出了重要贡献。中小企业在土耳其经济中占有重要地位,中小企业面临的主要问题是金融。因此,开发智能财务预警系统对中小企业至关重要。模型有5个步骤,基于数据挖掘方法卡方自动交互检测器(CHAID)决策树算法。
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