data classifier

基本解释

Then an effective sequential data classifier is constructed using average CSR matching confidence and a rule-matching algorithm.
再利用平均CSR匹配置信度和一个规则匹配算法构建有效的序列数据分类器。
This paper discusses the relevant problems of applying the method of Concept-Based Attribute-Oriented to find classification rule, also expounds the implemented data classifier.
本文论述了运用基于概念的面向属性归纳方法来发现分类规则的有关问题以及数据分类器的实现。
In the implementation of data classifier, we describe extraction and management of conceptual hierarchy for data, also design an automatic extraction algorithm for numeric data .
然后，在数据分类器的实现中，论述了数据的概念层次提取和管理，并对数值型数据给出了一个自动提取概念层次算法；