贝叶斯网络分类器是数据挖掘与知识发现领域研究的主要方法之一。
Bayesian network classifier is one of the main research methods in data mining and KDD domain.
基于基本粗糙集合理论中属性不精确或部分依赖关系的定义,提出了一种新的选择性受限树型贝叶斯网络分类器。
A variant of TAN using rough sets theory is presented, and their tree classifier structures, which can be thought of as a selective restricted trees Bayesian classifier, are compared.
基于基本粗糙集合理论中属性不精确或部分依赖关系的定义,提出了一种新的选择性受限树型贝叶斯网络分类器。
A variant of TAN using rough sets theory is presented, and their tree classifier structures, which can be thought of as a selective restricted trees Bayesian classifier, are compared.
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