提出了一种基于概念层次树的主题词轮排选择的实现算法。
Based on human imitation, a concept hierarch tree based rotational model is developed to choose the final subject words.
其中概念层次树作为一种统计类的数据分类方法在面向属性的归纳分类方法中起着重要作用。
Conception Hierarchy Tree classifiers which is a statistical approach have played an important role in Attribute-Oriented Induction.
提出一种视频的分层语义联想模型，构造三个层次的信息：概念层次树，场景网络和语义对象网络。
A hierarchical semantic associative video model was proposed which described video information in hierarchical concept tree, scene network and semantic object net.
根据概念层次树中所包含的主题词上下位信息对待标引的文本候选主题词的权重进行调整，并扩充未出现在文本中的上位主题概念。
Firstly, according to the information of the concept hierarch tree, weight of keywords which were extracted from text are adjusted, and some latent keywords which donot appear in text are recruited.
文中提出了一种改进的点击流树模型，其主要特点是融入了站点的概念层次。
In this paper, we propose an improved Click-Stream Tree model characterized by incorporating conceptual hierarchy of the web site.
在实际情况中，许多属性都可以进行数据归类，以形成概念汇聚点，这些概念依抽象程度不同可构成描述它们层次结构的概念树。
In actual situation, many attribute all can classify by data coming to the spot of concept gathered. These concepts can constitute the concept tree which may describe their order and structure.
在实际情况中，许多属性都可以进行数据归类，以形成概念汇聚点，这些概念依抽象程度不同可构成描述它们层次结构的概念树。
In actual situation, many attribute all can classify by data coming to the spot of concept gathered. These concepts can constitute the concept tree which may describe their order and structure.
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