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tree_Kidney
- 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究,运用决策树技术对数据样本进行分析.程序功能：增熵分析-cases from the hospital to obtain the data for 3,022 cases samples the completio
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 ossva
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
include
- 决策树的源代码，yongc写的 请看看吧-Decision tree of the source code, yongc written look and see
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 -ID3 Decision Tree Descr iption: an overview of prior knowledge to generate decision tree (Building Decision Tre
dtview
- 决策树 C4.5 分类器, 用C语言写的.大家一起参考一下. -C4.5 decision tree classifier, using the C language. U.S. with reference.
Cart
- 实现决策树分类训练试验。 源自c4.5，在windows下用C++实现,简洁好用。用户只需要构建好特征说明文件，并选择一些参数既可以进行试验。-Realize decision tree classifier trained pilot. From c4.5, in windows using C++ Realize, concise easy to use. Users only need to build a good feat
qinbing_01
- 介绍决策树的算法思想，对人工智能研究很有帮助-Introduction of Decision Tree Algorithm thinking, artificial intelligence research on the helpful
jueceshuID3
- 基于决策树的matlab的源程序，供大家参考 -Based on Decision Tree matlab source for reference
jueceshur8
- 是构造决策树分类器的一种算法，它是ID3算法的扩展。ID3算法只能处理离散型的描述性属性，而此算法还能够处理描述性属性是连续型的情况。-Decision tree classifier is constructed of an algorithm, which is an extension of ID3 algorithm. ID3 algorithm can only handle discrete descr iptive att
c4.5
- 数据挖掘算法中，有关决策树算法c4.5的实现，c4.5是在ID3基础上实现的，有这比id3还好的功能-Data mining algorithms, the decision tree algorithm c4.5 realization, c4.5 is based on ID3, with this function better than id3
BigTree2
- 该代码是数据挖掘里面的决策树算法 利用ID3理论，通过对训练数据的分析判断，计算出各个数据的其它对目标属性的重要程度，即计算出每个其它数据的信息增益值来将训练数据逐步分类，最后得出目标分类，从而实现决策树的生成过程。最后即可利用此决策树来对新的数据进行测试，判断其目标属性的可能值。-The data mining code is inside the ID3 decision tree algorithm using the theo
c4.5r8
- 决策树ID3算法的改进算法,可以处理数值属性,缺丢值和噪声数据.-ID3 decision tree algorithm to improve the algorithm, can deal with numerical attributes, missing values and noisy data lost.
Id3
- 决策树在Weka中的设计与实现,数据的属性要是名词性的。-Weka decision tree in the design and realization of the attributes of data if the term in nature.
data_mining1
- 本资料含有国外最经典的数据挖掘的论文。有决策树，贝叶斯等-This information contains a foreign classic data mining papers. There are decision trees, Bayesian, etc.
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-Decision tree is to express an effective form of knowledge, this is a classic mining decision tree algorithm c4.5
jueceshu
- 决策树 cart 二叉树代码，简要算法与说明-Decision tree cart binary tree code algorithm and briefly explain
cart
- vc++下的决策树cart算法，最为经典的算法之一。-vc++ under the cart of the decision tree algorithm, one of the most classic algorithm.