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AlgorithemofC4.5
- 本论文深入浅出的讲解了C4.5算法，对算法的剪枝、缺省值的处理等方方面面进行了较为详细的讲解，很值得阅读。
c4.5
- 数据挖掘十大算法之c4.5简介
C4.5.rar
- Quinlan s C4.5 算法的实现-the implementation of C4.5 [教學文件],Quinlan s C4.5 algorithm-the implementation of C4.5 [Teaching documents]
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
c45_20090628
- c4.5 unix version-c4.5 unix version.........
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
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
DTC4.5-Src
- The C4.5 system consists of four principal programs: 1) the decision tree generator ( c4.5 ), 2) the production rule generator ( c4.5rules ), 3) the decision tree interpreter ( consult ), and 4) the production rule interpreter ( consul
Analysis-of-C4.5-Algorithm
- Application and Analysis of C4.5 Algorithm
adaboos
- 当弱分类器算法使用简单的分类方时,boosting的效果明显地统一地比bagging要好.当弱分类器算法使用C4.5时,boosting比bagging较好,但是没有前者的比较来得明显.-When the weak classifier algorithm using simple classification method, boosting the effect clearly uniformly better than bagging. When the weak classifier
C4.5
- 这是介绍c4.5算法的一篇文章，非常清楚-It is an article about c4.5 algorithm,which is quite clear.
CSDN
- 上传的是CSDN上下的有关代码。里面包含c4.5程序，ID3等相关源代码。这是很有用的代码。-Upload is about code CSDN bottom. Which contains c4.5 program, ID3 and other related source code. It is useful code.
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传
C4_5Classifier
- c4.5 clasifier for the classification of the vedios.
10.1.1.1.8430
- NeC4.5: Neural Ensemble Based C4.5 Zhi-Hua Zhou, Member, IEEE, and Yuan Jiang Abstract—Decision tree is with good comprehensibility while neural network ensemble is with strong generalization ability.
C4.5-ppt
- my file is about C4.5 and i want to codes of that in mathlab
adaboost
- Now, you ought to implement the AdaBoost.M1 and AdaBoost.M2 algorithms. These algorithms are two versions of the AdaBoost algorithm for handling the Problems with more than two classes. You must first read the paper “Experiments with a New Boosti
c4.5-code
- This file contains matlab code for c4.5 decision tree code, which is used to study id3 algorithm based machine learning code
KCB-AKHR
- Kecerdasan buatan decision tree untuk menentukan masa studi mahasiswa menggunakan algoritma c4.5
关于机器学习的十大经典算法
- 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.C4.5算法继承了ID3算法的优点，并在以下几方面对ID3算法进行了改进：1)用信息增益率来选择属性，克服了用信息增益选择属性时偏向选择取值多的属性的不足;