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【VC/MFC】 the-classical-algorithm DL : 0: （经典聚类算法）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. 不仅仅是选中的十大算法，其实参加评选的18种算法，实际上随便拿出一种来都可以称得上是经典算法，它们在数据挖掘领域都产生了极为深远的影响。-(Classical clustering algorithm) International authoritative academic organization of the IEEE International Conference on Data Mining (ICDM) in December 2006 selected the top ten of the field of data mining algorithm: the C4.5, k-Means, SVM, of Apriori, the EM, the PageRank, AdaBoost, kNN , the Naive Bayes, and the CART. Not just the selected 10 algorithms, in fact, participate in the selection of 18 kinds of algorithms, in fact, easily come up with one can be called a classical algorithm in the field of data mining, they have had far-reaching impact.
Update : 2024-05-10 Size : 3922944 Publisher : 赵鑫维
【matlab】 C4_5 DL : 0: 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
Update : 2024-05-10 Size : 3072 Publisher : 车臣
【matlab】 C4_5 DL : 0: 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
Update : 2024-05-10 Size : 2048 Publisher : songyingxu
【Software Engineering】 10-da--suanfa DL : 0: 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 classical information, the international authority of the academic organization of the IEEE International Conference on Data Mining (ICDM) 2006, selected the top ten of the field of data mining algorithms: the C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.
Update : 2024-05-10 Size : 57344 Publisher : 吴贵锋
【assembly language】 c4.5 DL : 0: 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.
Update : 2024-05-10 Size : 156672 Publisher : 魏洪涛
【Windows Develop】 Cc45zip4 DL : 0: 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.
Update : 2024-05-10 Size : 2600960 Publisher : kommkk
【Data structs】 classifier DL : 0: 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
Update : 2024-05-10 Size : 10240 Publisher : cxl
【AI-NN-PR】 dataming DL : 0: 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,k-Means, SVM, Apriori, EM, PageRank, AdaBoost,kNN, Naive Bayes, and CART. These top 10 algorithms are among the most influential data mining algorithms in the research community. With each algorithm, we provide a description of the algorithm, discuss the impact of the algorithm, and review current and further research on the algorithm. These 10 algorithms cover classification,
Update : 2024-05-10 Size : 633856 Publisher : andyzygg
【JSP/Java】 C4_5 DL : 0: 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
Update : 2024-05-10 Size : 862208 Publisher : 刘钰
【JSP/Java】 DT_C45 DL : 0: 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
Update : 2024-05-10 Size : 5794816 Publisher : 刘钰
【Other】 C4 DL : 0: 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: each digit plus 5, then use divided by the remainder of 10 instead of the digital, and then exchange the first and fourth, second and third place exchange.
Update : 2024-05-10 Size : 1024 Publisher : 开通
【AI-NN-PR】 C4_5 DL : 0: 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
Update : 2024-05-10 Size : 3072 Publisher : elina
【AI-NN-PR】 DecisionTree DL : 0: 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
Update : 2024-05-10 Size : 4885504 Publisher : 凌遥雪
【AI-NN-PR】 decision-tree DL : 0: 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)
Update : 2024-05-10 Size : 3317760 Publisher : 吴晓
【Other】 C4.5 DL : 0: 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
Update : 2024-05-10 Size : 817152 Publisher : 杨青云
【matlab】 C4_5_explaned DL : 0: matlab的一个c4.5实现小程序，（非原创）注意将其中的break改成return，还有一些小瑕疵。-matlab c4.5 applet attention to break into the return, there are some small flaws.
Update : 2024-05-10 Size : 3072 Publisher : 杨青云
【AI-NN-PR】 C4.5 DL : 0: 决策树分类通过读取数据求信息增益率选择最好的分离属性-Decision tree classification by reading the data and information gain ratio to select the best separation properties
Update : 2024-05-10 Size : 64512 Publisher : lihongjun
【Anti-virus】 DecisionTree DL : 0: 决策树算法实现，C4.5，挺好的实现了，大家可以下载来-Cnt main(int argc, char* argv[]){ string filename = "source.txt" DecisionTree dt int attr_node = 0 TreeNode* treeHead = nullptr set<int> readLineNum vector<int> readClumNum int deep = 0 if (dt.pretreatment(filename, readLineNum, readClumNum) == 0) { dt.CreatTree(treeHead, dt.getStatTree(), dt.getInfos(), readLineNum, readClumNum, deep) }
Update : 2024-05-10 Size : 4885504 Publisher : 王生
【Anti-virus】 DecisionTree DL : 0: 决策树算法实现，C4.5，挺好的实现了，大家可以下载来-Cnt main(int argc, char* argv[]){ string filename = "source.txt" DecisionTree dt int attr_node = 0 TreeNode* treeHead = nullptr set<int> readLineNum vector<int> readClumNum int deep = 0 if (dt.pretreatment(filename, readLineNum, readClumNum) == 0) { dt.CreatTree(treeHead, dt.getStatTree(), dt.getInfos(), readLineNum, readClumNum, deep) }
Update : 2024-05-10 Size : 4885504 Publisher : 王生
【AI-NN-PR】 demo DL : 0: 数据挖掘机器学习中的决策树c4.5的实现源代码，仅供学习-Data mining machine learning to achieve the source code tree c4.5
Update : 2024-05-10 Size : 2122752 Publisher : 杨程成

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