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Description: 本程序是用java语言编写的数据挖掘分类算法中的决策树分类方法c4.5程序代码-this procedure is used java language classification of data mining algorithms decision tree classification code Bank
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Size: 240640 |
Author: 李雪 |
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Description: 这是我从weka主页上下载的一个c4.5算法的改进算法,里面附有readme文件,只有算法的主体,大约600行代码-weka from the home page to download an algorithm Bank improved algorithm inside with the readme file, only the main algorithm, about 600 lines of code
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Size: 8192 |
Author: 孙为 |
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Description: 本代码是用java语言编写的基于决策树c4.5算法的数据挖掘程序，它可以在很多领域如股票系统中使用 -the code is written in java-based Decision Tree Algorithm Bank data mining process, it can in many areas such as the use of the stock system
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Size: 231424 |
Author: 飞翔 |
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Description: Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer.
Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42.
使用神经网络集成方法诊断糖尿病,肝炎,乳腺癌症的案例研究.
-Description: C4.5Rule-PANE is a rule learning method which could generate accurate and comprehensible symbolic rules, through regarding a neural network ensemble as a pre-process of a rule inducer. Reference: Z.-H. Zhou and Y. Jiang. Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble. IEEE Transactions on Information Technology in Biomedicine, 2003, vol.7, no.1, pp.37-42.
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Size: 8192 |
Author: 修宇 |
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Description: C4.5 is an upgrade version of ID3, which solves issues that are not addressed by ID3, e.g. C4.5 can handle missing value and continuous features.-C4.5 is an upgrade version of ID3, which solves issues that are not addressed by ID3, eg C4.5 can handle missing value and continuous features.
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Size: 1024 |
Author: 12 |
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Description: 这个是C45算法的源代码。用java编写。记事本格式。-C45 is the algorithm source code. Using java prepared. The notebook format.
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Size: 1024 |
Author: 郭小羊 |
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Description: 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
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Size: 1024 |
Author: 唐宇 |
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Description: c4.5 ID3 分类决策数 公用java包
share-Bank classification decisions ID3 few packets share common java
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Size: 234496 |
Author: 代风 |
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Description: 这是决策树C4.5算法的java版源码。希望大家能喜欢，愿共同分享！-Decision Tree Algorithm C4.5 java version of the source code. Hope you will like it is willing to share!
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Size: 1024 |
Author: gosiger |
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Description: id3的java实现，是个不错的源码。其中有一些共享文件也可为c4.5共享-id3 achieve the java, is a good source. Some of which are shared will be able to share c4.5
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Size: 292864 |
Author: 林奇 |
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Description: 决策树 C4.5 分类器, 用C语言写的.大家一起参考一下. -C4.5 decision tree classifier, using the C language. U.S. with reference.
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Size: 143360 |
Author: sj2ac |
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Description: 实现决策树分类训练试验。
源自c4.5，在windows下用C++实现,简洁好用。用户只需要构建好特征说明文件，并选择一些参数既可以进行试验。-Realize decision tree classifier trained pilot. From c4.5, in windows using C++ Realize, concise easy to use. Users only need to build a good feature of the documentation, and select some of the parameters can be tested.
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Size: 139264 |
Author: 胡伟湘 |
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Description: C4.5算法有如下优点：产生的分类规则易于理解，准确率较高。其缺点是：在构造树的过程中，需要对数据集进行多次的顺序扫描和排序，因而导致算法的低效。此外，C4.5只适合于能够驻留于内存的数据集，当训练集大得无法在内存容纳时程序无法运行。-C4.5 algorithm has the following advantages: the classification rules easier to understand, accurate and a higher rate. Its shortcomings are as follows: in the tree structure, the need for a number of data sets the order of scanning and sorting, thus leading to inefficient algorithms. In addition, C4.5 can only be applied to the presence of a data set in memory, when the training set too great to accommodate in memory when the program can not run.
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Size: 1024 |
Author: xinyuanwo |
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Description: 决策树分类算法，c4.5，java语言进行描述的-Decision tree classification algorithm, c4.5, java language described
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Size: 1024 |
Author: lily |
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Description: 决策树关联规则比较经典的算法，通常一下大型的应用项目使用，因为其稳定，实用！-Comparison of the classical association rules decision tree algorithm, usually about the use of large-scale application projects, because of its stability, and practical!
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Size: 160768 |
Author: 李伟 |
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Description: c4.5 java code -c4.5 java code ..............
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Size: 53248 |
Author: rush |
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Description: 用Java开发的C4.5源码？
用Java开发的C4.5源码！-C4.5 developed using Java source code? C4.5 developed using Java source code!
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Size: 427008 |
Author: Cdr |
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Description: This source code of C4.5 algorithm by Weka Software
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Size: 67584 |
Author: yam |
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Description: 决策树 C4.5 分类器, 用java语言写的.大家一起参考一下. -C4.5 decision tree classifier, using the java language. U.S. with reference.
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Size: 2048 |
Author: Kevinchen |
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Description: source code for decision tree algorithm c4.5
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Size: 443392 |
Author: dred |
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