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Description: 数据挖掘中的决策树C4.5算法的实现,用matlab实现-Data Mining Decision Tree Algorithm of C4.5, using Matlab to achieve
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Size: 2308 |
Author: 利军 |
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Description: windows操作系统下的决策树分类算法工具包，经典的C4.5算法实现，功能巨强大！-windows operating system under the decision tree classification algorithm tool kit, the classical algorithm C4.5, functional Giant powerful!
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Size: 97172 |
Author: 刘志刚 |
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Description: 以从医院病案室获得的3022例数据为样本，在完成样本数据库以及糖尿病并发症的多维数据集设计后，以糖尿病并发症流行病学知识发现为重点，研究定性数据定量化挖掘模型及算法引擎的设计与实现，即将关联模型引入糖尿病并发症的流行病学研究.运用决策树技术对数据样本进行分析，采用C4.5找到最优决策树-cases from the hospital to obtain the data for 3,022 cases samples the completion of the sample database and diabetic complications multidimensional data sets design, Complications of diabetes epidemiology knowledge discovery as the focus, Quantitative study of qualitative data mining engine model and algorithm design and implementation, Relational Model forthcoming introduction of diabetic complications epidemiological studies. the use of decision tree technical data samples for further analysis. C4.5 used to find optimal decision tree
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Size: 308945 |
Author: Eric Cheng |
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Description: ID3+C4.5的源程序。用于数据挖掘决策算法的一个实例。-ID3 C4.5 of the source. Data Mining for a decision algorithm examples.
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Size: 5135 |
Author: 张飞 |
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Description: 模式识别bagging boosting c4.5算法-Bagging boosting c4.5 algorithm for pattern recognition
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Size: 80896 |
Author: john |
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Description: 这是数据挖掘中c4.5分类算法的vc++源码。-This is a data mining algorithm c4.5 classification of vc++ source code.
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Size: 153600 |
Author: xufen |
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Description: 数据挖掘课中的一个算法c4.5决策树源码，只要有相应的测试文件就可以了-Data mining courses in a decision tree algorithm c4.5 source code, as long as the corresponding test file on it
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Size: 140288 |
Author: 王俊杰 |
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Description: his algorithm was proposed by Quinlan (1993). The C4.5 algorithm generates a classification-decision tree for the given data-set by recursive partitioning of data. The decision is grown using Depth-first strategy. The algorithm considers all the possible tests that can split the data set and selects a test that gives the best information gain. For each discrete attribute, one test with outcomes as many as the number of distinct values of the attribute is considered. For each continuous attribute, binary tests involving every distinct values of the attribute are considered. In order to gather the entropy gain of all these binary tests efficiently, the training data set belonging to the node in consideration is sorted for the values of the continuous attribute and the entropy gains of the binary cut based on each distinct values are calculated in one scan of the sorted data. This process is repeated for each continuous attributes.
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Size: 2048 |
Author: rajesh |
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Description: 这是决策树算法C4.5的源代码！是用vc编写的，内容比较详细。-this is a source code of C4.5 algorithm！
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Size: 160768 |
Author: 岳涛 |
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Description: win下C++实现C4.5算法,图形界面具有测试功能.采用悲观后剪枝,使用增益比进行连续属性离散化.-Win C++ C4.5 algorithm under realization, graphic interface with test function. After the pessimistic pruned, use than to gain discretization.
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Size: 258048 |
Author: 罗晓民 |
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Description: 介绍C4.5的文章，有详细的例子，对理解算法很有帮助-The article introduces C4.5, detailed examples, helpful to understand the algorithm
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Size: 268288 |
Author: yangcaodie |
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Description: The aim of this article is to show a brief description about the C4.5 algorithm, used to create Univariate De- cision Trees. We also talk about Multivariate Decision Trees, their process to classify instances using more than one attribute per node in the tree. We try to discuss how they work, and how to implement the algorithms that build such trees, including examples of Univariate and Multivariate results.
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Size: 161792 |
Author: tuanhadau |
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Description: 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.
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Size: 268288 |
Author: 苏小 |
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Description: 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；
2) 在树构造过程中进行剪枝；
3) 能够完成对连续属性的离散化处理；
4) 能够对不完整数据进行处理。
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。-The design and implementation of C4.5 and source code,C4.5 algorithm is a classification of the decision tree algorithm of machine learning algorithms, the ID3 algorithm is the core algorithm.
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Size: 2048 |
Author: 李菲 |
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Description: java code for c4.5 algorithm
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Size: 444416 |
Author: Akansha Priya |
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Description: 自己用VC6.0实现的机器学习十大算法中的c4.5算法，经过测试，算法运行很好-VC6.0 with their own machines to learn the ten algorithms in the c4.5 algorithm, tested, the algorithm runs very well
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Size: 8192 |
Author: lidabao |
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Description: C4.5算法的matlab实现，里面有标准数据集作为实例进行演示-C4.5 algorithm matlab implementation, which has a standard data set as an example to demonstrate
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Size: 357376 |
Author: 宋林 |
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Description: C4.5算法，优秀的决策树算法，由于求解特征分类问题(C4.5 algorithm, an excellent decision tree algorithm, especially for the problem of feature classification)
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Size: 5120 |
Author: xzq2017
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Description: 实现了C4.5算法的全部功能，并包括设计文档和源程序。(It implements all the functions of the C4.5 algorithm and includes the design of documents and source programs.)
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Size: 190464 |
Author: 张虎一
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Description: matlab编码实现C4.5算法的分类问题，完整代码(Classification of C4.5 algorithm by coding)
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Size: 4096 |
Author: 竹叶飘香 |
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