决策树算法在评估系统中的应用研究

Application Research of Decision Tree Algorithm in Assessing the System

它概述了数据挖掘的几种常用算法，在权衡利弊的情况下，选择了决策树算法，它的优点是描述简单、分类速度快．特别适合大规模的数据处理，另外，以其易于提取显式规则、计算量相对较小、可以显示重要的决策属性和具有较高的分类准确率，综合以上优点及教学评估数据的结构化特性，选择分类技术中的决策树方法用于教学评估数据挖掘系统。

In order to increase the processing technology of data complexity,the article provides an overview of several commonly used data mining algorithms, in weighing the pros and cons , then choose the decision tree algorithm, and its advantages are described in simple, classification speed, especially suitable for large-scale data processing, In addition, its ease of extraction of explicit rules for calculating the volume of relatively small, and they demonstrated the important decision-making attributes and classification with high accuracy, Taking all these advantages and the structuring characteristics of the evaluation data , select the decision tree method of the classification for teaching evaluation data mining system.