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 Platform: |
Size: 232201 |
Author:飞翔 |
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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 Platform: |
Size: 231424 |
Author:飞翔 |
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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! Platform: |
Size: 1024 |
Author:gosiger |
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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. Platform: |
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. Platform: |
Size: 1024 |
Author:xinyuanwo |
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Description: It is C4.5 algorithm written in java. C4.5 is one of the decision tree algorithms in data mining. Platform: |
Size: 6144 |
Author:Pixy Yuki |
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Description: 数据挖掘 决策树算法 C4.5 JAVA编程实现
GUI界面显示决策树的分析结果-DataMining decision tree C4.5 in java code
GUI interface to show the result of decision tree Platform: |
Size: 908288 |
Author:koolboy |
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