摘要
介绍商业银行业务中的信用风险评估和当前数据挖掘技术的新进展,讨论了分类与预测挖掘在信用风险评估中的应用。信用风险评估实质上是一个分类和预测的问题,该研究不仅有助于大规模数据环境下的挖掘系统的研发,而且能推动风险管理体制的进一步完善,利于经济的发展。
Credit-Risking Evaluation in Business Bank Transactions and Current new progress for Data Mining are introduced,and the application of Classification and Prediction Mining in Credit-Risking Evaluation is discussed.In fact,Credit-Risking Evaluation is one question about Classification and Prediction.This study not only plays an important role in the research and development of mining system under the large-scale data environment,but also can promote the further improvement of risk management system,which is good for the development of the economy.
出处
《工业控制计算机》
2012年第7期71-72,共2页
Industrial Control Computer
关键词
信用风险评估
数据挖掘
分类与预测
挖掘系统
credit-risking evaluation
eata mining
classification and prediction
mining system
