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c4.5算法数据(VC VERSION)
- 数据挖掘c4.5算法（vc语言版本）欢迎大家下载测试！！！！ - The data mining c4.5 algorithm (vc language edition) welcome everybody downloading test! ! ! !
c4.5_www2.cs.uregina.ca
- 来自于www2.cs.uregina.ca的c4.5源码-from the Bank www2.cs.uregina.ca FOSS
c4.5-win
- windows操作系统下的决策树分类算法工具包，经典的C4.5算法实现，功能巨强大！-windows operating system under the decision tree classification algorithm tool kit, the classical algorithm C4.5, functional Giant powerful!
c4.5ID3javasharepacket
- c4.5 ID3 分类决策数 公用java包 share-Bank classification decisions ID3 few packets share common java
C4.5java
- 这是决策树C4.5算法的java版源码。希望大家能喜欢，愿共同分享！-Decision Tree Algorithm C4.5 java version of the source code. Hope you will like it is willing to share!
c4[1].5r8
- 用于数据挖掘的分类算法,基于c语言的,一个c4.5分类算法-used for the classification of data mining algorithms, based on the c language, a classification algorithm c4.5
C4.5
- 决策树是表达知识的一种有效形式，这个是挖掘决策树的经典c4.5算法
c4.5
- C4.5决策树算法，使用VC++实现的，比较好用
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.
c4.5.rar
- 通过C4.5 的实现可以进行构建决策树 来进行有效的分类,Through the realization of C4.5 decision tree can be constructed to carry out an effective classification
C4.5.zip
- C4.5决策树算法C语言实现，经编译，基本上可用,Work out C4.5 using C
C45.rar
- C4.5决策树的应用,c45是数据挖掘中重要的决策工具,C4.5 decision tree application
c4.5ID3
- 决策树算法 里面包含c4.5 ID3算法的源代码-c4.5 id3
datamining
- 数据挖掘中的决策树算法。c4.5,用C语言写的。比较全面。-c4.5
jaDTi-0.5.0
- c4.5 java code -c4.5 java code ..............
C4_5
- C4.5决策树matlab程序,本人找了很久才找到，绝对能用-C4.5 Decision Tree code
C4.5_New
- c4.5算法的实现及调用说明，包括参考文献 和网络上的一些论文-Implementation of c4.5 algorithm and the instruction to use it
C4.5)
- C4.5源代码,为数据挖掘中的C4.5的详细源代码，可以生成决策树-C4.5 source code, as in the C4.5 data mining details the source code, you can generate decision trees
Kode-Program-Algoritma-C4.5
- C4.5 is an algorithm used to generate a decision tree. C4.5 is an extension of Quinlan s earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical class
C4.5
- 决策树经典学习算法，C4.5算法是ID3算法的改进，加上了子树的信息，因素属性的值可以是连续量,训练例的因素属性值可以是不确定的,对已生成的决策树进行裁剪,减小生成树的规模.-Decision tree learning algorithm of C4.5 algorithm is the classic, the improved ID3 algorithm, coupled with the subtree of the information, the factor attribute v