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- 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
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
10-da--suanfa
- 讲述了最著名的十大数据挖掘算法，经典资料，国际权威的学术组织the IEEE International Conference on Data Mining (ICDM) 2006年12月评选出了数据挖掘领域的十大经典算法：C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.-About the top ten most famous data mining algorithms, the
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:
DT_C45
- 用C++实现决策树的C4.5算法，又一个例子，有详细的建树过程，分别写出了每个函数，能够实现，有参考价值-With C++ realize decision tree C4.5 algorithm, and an example, a detailed construction process, write each function, can be achieved, there is reference value
C4_5
- 用C++实现决策树的C4.5算法，有详细的建树过程，能够实现，有参考价值-With C++ realize decision tree C4.5 algorithm, has a detailed construction process, can be realized, there is reference value
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
C4
- 某个公司采用公用电话传递数据，数据是四位的整数，在传递过程中是加密的，加密规则如下： 每位数字都加上5,然后用和除以10的余数代替该数字，再将第一位和第四位交换，第二位和第三位交换。-A company using a public phone to transfer data, the data is an integer of four in the transfer process is encrypted encryption rules are as follows: eac
decision-tree
- 关于决策树C4.5算法的几篇学术论文（基于C4.5算法的遥感影像分类）-Several papers (C4.5 decision tree algorithm C4.5 algorithm based on image classification)
C4.5
- 用c++编写的决策树识别，数据来源为csdn上一位大神的经典之作-Classic written c++ decision tree identification, data sources from csdn