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很不错的源码,欢迎大家下载,一起学习。大家有什么好的资料也请共享-good
Update : 2024-05-10 Size : 126976 Publisher : zhangcaiqin

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 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 reviewcurrent and further research on the algorithm. These 10 algorithms cover classification,
Update : 2024-05-10 Size : 622592 Publisher : sukmawati

SCMc4
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我上传的5个文件都是在单片机下运行的 主要是中断 通讯 继电器驱动 时钟 等-I uploaded 5 files are running under the SCM was mainly driven clock interrupt communications relay
Update : 2024-05-10 Size : 9216 Publisher : 王高飞

c4.5 unix version-c4.5 unix version.........
Update : 2024-05-10 Size : 164864 Publisher : siodos

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数据挖掘c4.5算法实现,实现简单相似判别.-Data Mining c4.5 algorithm to achieve simple and similar to distinguish.
Update : 2024-05-10 Size : 172032 Publisher : linwei

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 examples of learning-决策树
Update : 2024-05-10 Size : 108544 Publisher : 张林

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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
Update : 2024-05-10 Size : 8192 Publisher : Lei Wang

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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
Update : 2024-05-10 Size : 142336 Publisher : 叶禾

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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
Update : 2024-05-10 Size : 142336 Publisher : shj

VC/MFCid3
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id3算法vc++编程实现决策树分类器程序。-id3 decision tree!
Update : 2024-05-10 Size : 1936384 Publisher : 广庆

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 measured on a set of concept learning problems and compared with the performance of two existing systems: ID5R and C4.5. Preliminary results support that, despite minimal system bias, GABIL is an effective concept learner and is
Update : 2024-05-10 Size : 123904 Publisher : asad

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
Update : 2024-05-10 Size : 2048 Publisher : zhangyi

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sours code for algorithm c4.5 in machine learning pdf file explain-sours code for algorithm c4.5 in machine learning pdf file explain
Update : 2024-05-10 Size : 478208 Publisher : Aziz rwhani

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C语言基础教程,属于入门教材,适合初学者使用。-basic book about C language for newmen
Update : 2024-05-10 Size : 132096 Publisher : sun

WEB Codec4
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a r57 shell source code in php very useful
Update : 2024-05-10 Size : 81920 Publisher : micutzu

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this document contains information about c4.5 machine learning algorithm
Update : 2024-05-10 Size : 24576 Publisher : sathiya

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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
Update : 2024-05-10 Size : 1024 Publisher : 二毛

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功能强大的决策树分类算法,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。-Both C4.5 and C5.0 can produce classifiers expressed either as decision trees or rulesets. In many applications, rulesets are preferred because they are simpler and easier to understand than decision trees, but C4.5 s ruleset methods are slow and memory-hungry. C5.0 embodies new algorithms for generating rulesets, and the improvement is dramatic.
Update : 2024-05-10 Size : 131072 Publisher : shenjx

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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. Currently managed by the rulequest, the executable version of the commercial version, the GPL licensed source code released.
Update : 2024-05-10 Size : 104448 Publisher : shenjx

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.
Update : 2024-05-10 Size : 171008 Publisher : Marcus
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