Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data 论文
1988Management Science引用 292
Data Mining Algorithms and ApplicationsImbalanced Data Classification TechniquesFinancial Distress and Bankruptcy Prediction
详细信息
- 发表期刊/会议
- Management Science
- 发表日期
- 1988-12-01
- 发表年份
- 1988
关键词
Data Mining Algorithms and ApplicationsImbalanced Data Classification TechniquesFinancial Distress and Bankruptcy Prediction
摘要
With rapidly growing interest in the development of knowledge-based computer consulting systems for various problem domains, the difficulties associated with knowledge acquisition have special importance. This paper reports on the results of experiments designed to assess the effectiveness of an inductive algorithm in discovering predictive knowledge structures in financial data. The quality of the results are evaluated by comparing them to results generated by discriminant analysis, individual judgments, and group judgments. A partial intersection of predictive attributes occurs. More importantly, for all cases tested, the inductively produced knowledge structures perform better than the competing models.