This paper studies data mining classification calculation of SLIQ.
本文研究基于SLIQ的数据挖掘分类算法。
The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.
运用数据挖掘分类技术于信用评分问题包括一个建立模型以及选择最优模型的过程。
In order to improve the classification quality of decision system, a strategy of data mining classification rules based on rough approaching approximation measurement in data ware is proposed.
为了提高决策系统的分类质量，探讨了一种在数据仓库中基于粗糙逼近近似度量的挖掘分类规则策略。
应用推荐