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C4_5
- 数据挖掘算法，分类树的C4.5算法，用于模式分类-data mining algorithms, the C4.5 classification tree algorithm for pattern classification
DescionTree
- 决策树技术之ID3以及C4.5算法学习，很有用哦-decision tree technology and C4.5 ID3 algorithm learning useful oh
c45Algorithm
- C4.5是决策树的经典算法 C4.5 归纳学习是完全自动的学 习算法，所需要做的是选取有用的特征，构建实例数据库供它学习-C4.5 decision tree is the classic C4.5 inductive learning algorithm is completely automatic learning algorithm, what needs to be done is to select useful features, build databases for i
use_gain&static tree
- C4.5的简化版本是一个决策树的算法-C4.5 is a simplified version of the Decision Tree Algorithm
C45DT
- 这是一个改进的C4.5决策数算法C++类，可用于连续值和离散值的分类-This is an improved algorithm for decision-making C4.5 C can be used in continuous-valued and discrete values classification
c45
- C4.5 Classification Trees Induction Algorithm Java source code
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
NeC45
- 这是我从weka主页上下载的一个c4.5算法的改进算法,里面附有readme文件,只有算法的主体,大约600行代码-weka from the home page to download an algorithm Bank improved algorithm inside with the readme file, only the main algorithm, about 600 lines of code
abc
- C4.5是决策树的经典算法 C4.5 归纳学习是完全自动的学 习算法，所需要做的是选取有用的特征，构建实例数据库供它学习-C4.5 decision tree is the classic C4.5 inductive learning algorithm is completely automatic learning algorithm, what needs to be done is to select useful features, build databases for its e
C45
- C4. 5 决策树展示算法的设计, C4. 5 决策树展示算法的设计-C4. 5 shows the decision tree algorithm design, C4. 5 shows Algorithm for Decision Tree
orange
- sours code for algorithm c4.5 in machine learning pdf file explain-sours code for algorithm c4.5 in machine learning pdf file explain
C45
- this document contains information about c4.5 machine learning algorithm
Cubist
- 功能强大的决策树回归算法，是C4.5的改进版本，但在精度，速度和内存开销上均有了很大的改进。目前由rulequest公司管理，其可执行程序版本为商业版本，此GPL许可的源代码对外发布。-Powerful decision tree regression algorithm is an improved version of C4.5, but in the precision, speed and memory overhead has been greatly improved. Curren
MELANOMA_22.pdf
- proceeding algorithm c4.5
C4_5
- matlab实现决策树C4.5算法,首先利用训练数据创建决策树，再用测试数据对决策树进行剪枝。-C4.5 decision tree algorithm matlab realize, first use training data to create decision trees, and then test data for decision tree pruning.
HTTP-TUNNEL-DETECTING-TECHNIQUE
- 研究了恶意软件常采用的通信方式———隧道技术，并提出了一种基于Ｃ４．５的ＨＴＴＰ 隧道检测算法。该算法采用决策支持树算法 Ｃ４．５提取网络流特征字段，根据特征字段生成训练数据建立ＨＴＴＰ隧道分类的决策树检测模型，采用该分类模型检测ＨＴＴＰ隧道流，为检测恶意软件提供依据。-Malicious software often used means of communication--- tunneling technology, and a HTTP based on C4.5 Tunne
111
- C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. -C4.5algorithm is a kind of machine learning algorithm of decision tree classification algorithm, the algorithm is the core of ID3 algorithm.
J48
- J48 (unpruned or pruned C4.5 decision tree algorithm) WEKA project
C4_5
- C4.5决策树算法，可以进行数据分类，是数据挖掘的经典算法-C4.5 decision tree algorithm, data classification, is a classic data mining algorithm
dataming
- 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料，以找出不同的客户或市场划分，分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: