决策树算法在评估系统中的应用研究

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。

Application Research of Decision Tree Algorithm in Assessing the System

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.