计算机科学 ›› 2016, Vol. 43 ›› Issue (Z11): 461-465.doi: 10.11896/j.issn.1002-137X.2016.11A.103

• 信息安全 • 上一篇    下一篇

基于数据包络和数据挖掘的财务危机预测模型研究

赵智繁,曹倩   

  1. 北京工商大学计算机与信息工程学院 北京100048,北京工商大学计算机与信息工程学院 北京100048
  • 出版日期:2018-12-01 发布日期:2018-12-01
  • 基金资助:
    本文受北京市教委科学研究面上项目(KM201410011005),北京市优秀人才培养资助

Study on Financial Crisis Prediction Model with Data Envelopment Analysis and Data Mining

ZHAO Zhi-fan and CAO Qian   

  • Online:2018-12-01 Published:2018-12-01

摘要: 以往的企业财务危机预测研究只能预测企业是否具有财务危机,无法预测企业财务危机的程度,这是由于在界定企业财务危机时,只依据了企业是否为ST企业的分类方式。鉴于此,通过数据包络分析法,近一步细化了企业财务危机的分类,再使用关联规则算法筛选出重要的预测变量,最后使用决策树技术构建企业财务危机预测模型,并对分类的有效性和预测的准确率进行了验证。实证结果表明,基于数据包络和数据挖掘的财务危机预测模型既能保持较高的准确率,又能预测企业财务危机的程度,使得预测结果更具有参考价值。

关键词: 数据包络,财务危机,关联规则,决策树

Abstract: Previous studies on corporate financial crisis prediction can only predict whether the enterprise has the financial crisis,can not predict what the degree of enterprise financial crisis is.This is due to the definition of corporate financial crisis,only on the basis of whether the enterprise is ST Enterprise.In view of this,this paper used data envelopment analysis to refine the financial crisis of enterprises,then selected important predictive variable by using the association rule technology,and finally constructed prediction model of enterprise financial crisis by using the decision tree technique,and the validity of the classification and the accuracy of prediction were verified.Empirical study indicates that the financial crisis prediction model based on data envelopment analysis and data mining can not only maintain a high accuracy,but also can predict the degree of enterprise financial crisis.Its prediction result is more valuable.

Key words: Data envelope,Financial crisis,Association rules,Decision tree

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