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。
Genetic Programming is applied to mining classification rules, it can effectively solve multiclass classification by several two-class classifiers using structural hierarchy.
将遗传程序设计方法应用到分类规则的挖掘上，利用具有分层结构的两类别分类问题的分类器解决多类别的分类问题。
The paper proposed an algorithm based on ant colony algorithm for mining classification rule from the Student Scores Management Database.
本文采用一种基于蚁群算法的分类规则挖掘算法，其特征实质上是一种序列覆盖算法。
Using the training data, it explains the method of mining classification rules, and abecedarian experiment results validate its effectiveness.
通过训练数据的分析阐述了分类规则挖掘的方法，初步的实验结果验证了该方法的有效性。
It includes lots of measures such as association rules mining, classification and prediction, clustering analysis and evolvement analysis.
它包含关联规则挖掘、预测、分类、聚类、演化分析等多种技术手段。
The part of data mining importantly studies the basic course of data mining, classification technology and late-model multidimensional data mining technology;
数据挖掘部分重点研究了数据挖掘的基本过程、分类技术和新型的多维数据挖掘技术；
The part of data mining importantly studies the basic course of data mining, classification technology and late-model multidimensional data mining technology;
数据挖掘部分重点研究了数据挖掘的基本过程、分类技术和新型的多维数据挖掘技术；
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