Most data mining tools for knowledge discovery generally use rule discovery and decision tree technology to extract data patterns and rules.
用于知识发现的大部分数据挖掘工具均采用规则发现和决策树分类技术来发现数据模式和规则。
Most data mining tools use rule discovery and decision tree technology to extract data patterns and rules; its core is the inductive algorithm.
大部分数据挖掘工具采用规则发现和决策树分类技术来发现数据模式和规则，其核心是归纳算法。
This paper firstly introduces the principle of Data Mining technology and the decision tree method.
本文首先详细介绍了数据挖掘技术及其中的决策树方法。
Introducing the decision tree classifiers into packet filtering technology, it changes the conventional method searching the packet orderly.
把决策树分类器引入包过滤技术当中，改变了传统的顺序检索包过滤的方法。
In this paper, we used this technology to produce a decision tree based on existing general taxpayer's information and predict their credit according to the output of the decision tree.
本文对已有的一般纳税人信息使用该技术生成一棵判定树，来预测一般纳税人纳税的诚信度：是诚信纳税还是有偷税嫌疑。
In Corpus-based speech synthesis system, rapid pre-selection of the corpus is a key technology. Decision tree can achieve rapid classification.
在基于语料库的语音合成系统中，语料的快速预选是一项关键技术。
The paper stresses on the technology and methods, such as AHP, blurry integrative assessment, matrix decision model, decision tree model, and nonconfirm decision model.
其中重点探讨了定性与定量相结合的层次分析AHP法、模糊综合评判方法、矩阵决策模型方法、决策树决策模型方法、不确定性决策模型方法等。
The paper stresses on the technology and methods, such as AHP, blurry integrative assessment, matrix decision model, decision tree model, and nonconfirm decision model.
其中重点探讨了定性与定量相结合的层次分析AHP法、模糊综合评判方法、矩阵决策模型方法、决策树决策模型方法、不确定性决策模型方法等。
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