本文研究基于SLIQ的数据挖掘分类算法。
This paper studies data mining classification calculation of SLIQ.
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。
The application of data mining classification techniques in credit scoring involves the process of building and selecting optimal models.
本文讨论了两种数据挖掘算法：分类树和群集。
This article discussed two data mining algorithms: the classification tree and clustering.
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