The thesis emphasizes on the classification technique based on decision trees.
本文研究的是基于决策树的分类技术。
参考来源 - 基于决策树的应用研究This paper applies attribute-oriented induction and decision trees(C4.5 algorithm) to analyze insurance customer database and finds the charac-teristics of customer churn,helping insurance company to improve the relations with the customers.
论文利用面向属性归纳和决策树C4.5算法对保险客户基本信息进行分析,找出客户流失的特征,帮助保险公司有针对性地改善客户关系。
参考来源 - C4.5算法在保险客户流失分析中的应用·2,447,543篇论文数据,部分数据来源于NoteExpress
Decision trees provide an alternative representation of sequential if-then rule sets.
决策树提供了序列if - then规则集的另一种表示形式。
Decision trees graphically depict chains of dependent conditions leading to an action.
决策树以图形方式描述导致某项操作的相关条件链。
Supervised learning is the most common technique for training neural networks and decision trees.
监督学习是训练神经网络和决策树的最常见技术。
This is a very important concept, and we'll see a lot of algorithms essentially implement decision trees.
这是一个很重要的概念,我们可以看到很多,基于决策树的算法。
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