This paper presents a new method of WEB text categorization rule extraction based on the CHI value theory, rough set theory and decision tree.

本文根据CHI值原理、粗集理论和决策树原理，提出了一种抽取Web文本分类规则的新方法。

youdao

We propose a new approach to multivariate decision tree construction based on knowledge roughness in rough set instead of information entropy as usual.

提出了一种基于粗糙集中知识粗糙度的构建多变量决策树的算法。

youdao

Value reduction in rough set theory and decision tree in data mining are effectively used in the classification, but each of them has shortcomings.

粗糙集理论中的值约简和数据挖掘领域中的决策树都是有效的分类方法，但二者都有其局限性。

youdao