搜索资源列表
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
NeC45
- 一个java 写的C4.5程序，非常棒，不过要调用WEKA，懂数据挖掘的人应该都了解。分享一下-C4.5 write a java program, great, but to call WEKA, people who understand data mining should be all about. Share
C45
- 关于数据挖掘领域c4.5算法展示与改进的一片论文-C4.5 algorithm on data mining areas and improvement of a piece of paper showing
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
p4
- paper we explore the use of an adaptive search technique (genetic algorithms) to construct a system GABEL which continually learns and refines concept classification rules from its interaction with the environment. The performance of the system is me
C4_5
- c4.5经典算法，实现决策树分类功能，可以对连续数值和离散数值实现很好的分类，并有剪枝功能-c4.5 classic algorithms, to achieve the decision tree classification, can be continuous and discrete numerical values to achieve good classification, and a pruning function
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
data.txt
- C4.5算法源码，c4.5是ID3算法的改进，本资料十分全，希望对大家有帮助-C4.5 algorithm source code, c4.5 ID3 algorithm is improved, the information is very full, we want to help
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
00991727
- Presents an alytic evaluation of the runtime behavior of the c4.5 algorithm.-Presents an analytic evaluation of the runtime behavior of the c4.5 algorithm.
RescaleNew
- 这个包包括了一个多类代价敏感学习方法Rescalenew。这是一个通用的方法,如instance-weighting, sampling, threshold-moving等。-This package includes a multi-class cost-sensitive learning method Rescalenew. This is a general method which can be realized in many ways such as instance-weigh
MELANOMA_22.pdf
- proceeding algorithm c4.5
test_draworb0
- 高级信息提取 基于专家知识的决策树分类：规则获取（经验总结、数据挖掘如c4.5 cart算法）、规则定义以及构建决策树 -Advanced information extraction based on expert knowledge of the decision tree classification: the rules to get (lessons learned, data mining algorithms such as c4.5 cart), definit
test_object
- 高级信息提取 基于专家知识的决策树分类 -Advanced information extraction based on expert knowledge of the decision tree classification: the rules to get (lessons learned, data mining algorithms such as c4.5 cart), definitions and rules to build decision trees
C4_5
- C4.5决策树源代码，直接是matlab源代码-C4.5 decision tree source code matlab source code is directly
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.
Borland-CPP-4
- PC环境下ucos的 学习环境内有Borland C4.5的安装环境和TASM的编译换也有安装说明，适合想学嵌入式UCOS但是没有硬件实物的同学-Ucos PC environment within the learning environment Borland C4.5 of the installation environment and TASM compiler for installation instructions are also suitable for embedded U
R8.tar
- decision tree learning for C4.5
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