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crossvalidate
- 基于决策树的n则交叉验证分类器 （决策树程序直接调用matlab中的） crossvalidate.m N则交叉验证程序，N可选 NDT.mat 含9个国际公认标准数据集，已做过标么处理，可直接使用 专业-n Based on Decision Tree is cross-validation classification (decision tree directly call the Matlab) cr ossvalidate.m N is cross-validation
see5-public
- 这是vc开发的数据挖掘算法中的决策树算法之see5算法源代码.-development of the data mining algorithms decision tree algorithms see5 algorithm source code.
ID3
- 在网上下载的 介绍id3决策树的，简洁易懂，个人觉得是一本好文章特推荐给大家-online download on the id3 decision tree, easy to read, think is an excellent article especially recommended for everyone
id3doc
- 此编码是一个数据挖掘的决策树各种算法。以作为入门提示-this code is a decision tree data mining algorithms. As a portal to suggest
200312810403245459
- 对决策树的ppt文章，希望对大家有帮住，希望大家喜欢-right decision tree ppt article, and I hope to help you live, hope you like
id3ppt
- ID3决策树内容简介： 概述 预备知识 决策树生成(Building Decision Tree) 决策树剪枝(Pruning Decision Tree) 捕捉变化数据的挖掘方法 小结
sh
- Decision Tree Decision Tr
decision-making-tree-algorithm
- One kind of decision-making tree algorithm, can be seen as one kind data mining algorithm ,find the rule from large-scale data middle.
C4.5_r8
- 这是一个决策树算法-This is a Decision Tree Algorithm
VBDMDecisionTrees
- 一个关于数据挖掘的决策树算法-a data mining on the Decision Tree Algorithm
DecisionTree
- This Decision Tree is developed in java language.
id3
- Decision Tree 决策树算法ID3 数据挖掘 分类
DecisionTree
- 决策树分类，Your task for this project is to develop an system which performs a classification task with any various Decision Tree.
567
- 决策树的ID3用JAVA实现-Realizing of ID3 Decision Tree using JAVA
r8
- 这是一个有关决策树分类器中C4.5算法的原程序-This is a decision tree classifiers on which the original algorithm C4.5 procedures
92 java版本
- 本程序是用java语言编写的数据挖掘分类算法中的决策树分类方法c4.5程序代码-this procedure is used java language classification of data mining algorithms decision tree classification code Bank
c4.5数据挖掘算法源代码，LINUX版本
- 本程序是用c语言编写的基于决策树分类方法的数据挖掘算法，它对测试集进行分类，挖掘出潜在的规则-this procedure is used to prepare the language c decision tree classification based on the data mining algorithm, which tests set for classification, tapping the potential rules
pc4.5.tar
- 此代码是用c语言编写的决策树的c4.5代码，它是数据挖掘分类算法中的一种，可以对给定数据集进行分类，挖掘出规则-this code is c language of the decision tree Bank code, which is data mining classification algorithm of a can of a given data set for classification, tapping rules
C4.5算法源程序
- C4.5算法进行决策树生成 以信息增益最大的属性作为分类属性，生成决策树，从而得出决策规则。-C4.5 decision tree algorithms to generate information gain the greatest attribute as a classification attributes, generate decision tree, and came to decision-making rules.
CART
- 用matlab编写的CART数据挖掘决策树算法-using Matlab CART prepared by the Data Mining Decision Tree Algorithm