文档介绍：
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决策树算法研究
LT
rocess. Algorithm of decision tree in data mining is an important method of classification based on decision tree algorithms, in execution speed, scalability, output result comprehensibility, classification accuracy, each has its own merits., extensive application in various fields and have many mature system, such as speech recognition, pattern recognition and expert system and so on. This paper studies and compares several kinds of typical decision tree algorithm, and the algorithm of decision tree application examples.
Keywords: Data mining; decision tree；Compare
目录
HYPERLINK \l "_Toc440569408" 第一章绪论 4
HYPERLINK \l "_Toc440569409" 第二章文献综述 5
HYPERLINK \l "_Toc440569410" 数据挖掘简述 5
HYPERLINK \l "_Toc440569411" 决策树算法背景知识及研究现状 6
HYPERLINK \l "_Toc440569412" 决策树算法描述 6
HYPERLINK \l "_Toc440569413" 7
HYPERLINK \l "_Toc440569414" 第三章决策树算法 9
HYPERLINK \l "_Toc440569415" CLS算法 9
HYPERLINK \l "_Toc440569416" ID3算法 11
HYPERLINK \l "_Toc440569417" 信息量大小的度量 11
HYPERLINK \l "_Toc440569418" ID3决策树应用举例 12
HYPERLINK \l "_Toc440569419" 17
HYPERLINK \l "_Toc440569420" 用信息增益率选择属性 17
HYPERLINK \l "_Toc440569421" 处理连续属性值 18
HYPERLINK \l "_Toc440569422" 树剪枝 19
HYPERLINK \l "_Toc440569423" weka平台的简述 20
HYPERLINK \l "_Toc440569424" 第四章决策树在学生成绩中的应用错误！未定义书签。
HYPERLINK \l "_Toc440569425" 错误！未定义书签。
HYPERLINK \l "_Toc440569426" 错误！未定义书签。
HYPERLINK \l "_Toc440569427" 错误！未定义书签。
HYPERLINK \l "_Toc440569428" 第五章结论 21
HYPERLINK \l "_Toc440569429" 参考文献 1
第一章绪论
无论在企业应用领域，还是在科学领域，数据挖掘技术有着广泛的应用价值。     
在企业应用领域，用于制定好的市场策略以及企业的关键性决策。在商业面， 数据挖掘技术可以增强企业的竞争优势，缩短销售周期，降低生产成本，有助制定市场计划和销售策略，并已经成为电子商务中的关键技术。 
近年来，随着我国高等教育的飞速发展，高校的教学管理信息不断增多。教学工作信息化有了很大的进步，好多高校在管理学生和教师信息方面有了很好的方式。比如我校的教务系统，这些系统为老师和学生提供