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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
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.
C45New
- C++编写的决策树C4.5分类，可用于数据分类-DecisionTree C4.5 classification
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
cbuildPc45
- 数据挖掘算法决策树C4.5，针对arff格式的文件，强大，完整的项目，可直接利用-Decision Tree C4.5
C4_5
- 该源码使用C4.5算法进行分类，该程序为matlab源码。-Classify using Quinlan s C4.5 algorithm
C4_5
- 是关于C4.5算法，里面有C4.5的一些MATLAB所用的知识类容-it is ablout C4.5
C4_5
- 应用Matlab工具编写程序进而实现决策树C4.5分类算法-Use Matlab to make desicion tree
c4.5
- 是学习决策树很好的例子，利用excel宏生成，希望能对大家有帮助。-Learning decision trees good example of the use of excel macros to generate, we hope to help.
Cc45zip4
- 决策树c4.5算法的c++实实现 希望对大家有用可直接使用。 -The decision tree c4.5 algorithm c++ implemented to achieve the hope that useful can be used directly.
classifier
- 该源码实现了决策树C4.5算法，用于分类预测-This source realized the decision tree C4.5 algorithm used for classification prediction
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:
C4_5
- C4.5 matlab实现，机器学习和数据挖掘课程学习的经典算法-C4.5 matlab implementation
DecisionTree
- 决策树的经典C4.5算法，基于VS2010，对学习人工智能的同学有帮助-C4.5 decision tree algorithm, based on VS2010