在财务因素分析上，采用基于归纳推理方法的决策树方法，分析了财务因素对贷款风险分类的影响。
When analyze financial factor, decision tree method on the basis of inductive reasoning means is adopted to analyze the infection of financial factor to loan risk classification.
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。
Most data mining tools use rule discovery and decision tree technology to extract data patterns and rules; its core is the inductive algorithm.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
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.
具体地，完成了如下实例研究：①利用判定树算法对信用度好的个人信贷客户进行归纳分类模型的建立。
Then it completes the case researches below with data mining technologies:(1)With decision-tree algorithm , it creates a model which classifies the credit degrees of personal loan customers.
具体地，完成了如下实例研究：①利用判定树算法对信用度好的个人信贷客户进行归纳分类模型的建立。
Then it completes the case researches below with data mining technologies:(1)With decision-tree algorithm , it creates a model which classifies the credit degrees of personal loan customers.
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