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 Platform: |
Size: 308224 |
Author:Eric Cheng |
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Description: 决策树是表达知识的一种有效形式，这个是挖掘决策树的经典c4.5算法-Decision tree is to express an effective form of knowledge, this is a classic mining decision tree algorithm c4.5 Platform: |
Size: 261120 |
Author:mameng |
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Description: 有关人工智能，数据挖掘中的决策树算法的实现包括相关的测试数据-On artificial intelligence, data mining, decision tree algorithm in the implementation, including relevant test data Platform: |
Size: 3691520 |
Author:常 |
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Description: 决策树的ID3算法用C++实现，还有一些文章和数据等等。-ID3 decision tree algorithm using C++ implementation, there are some articles and data and so forth. Platform: |
Size: 7447552 |
Author:羽 |
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Description: 是基于c#开发环境实现的决策树算法。该算法是数据挖掘人工智能的非常重要的算法。-C# development environment is based on decision tree algorithm implementation. The algorithm is very important to artificial intelligence data mining algorithms. Platform: |
Size: 60416 |
Author:祝美莲 |
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Description: C语言实现的决策树算法，广泛应用在模式识别中-C language implementation of the decision tree algorithm, widely used in pattern recognition Platform: |
Size: 2048 |
Author:wangcanjin |
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Description: 这是用C++实现的ID3决策树，决策树算法是非常常用的分类算法，是逼近离散目标函数的方法，学习得到的函数以决策树的形式表示。-ID3 decision tree, the decision tree algorithm implementation in C++ is a very commonly used classification algorithms, approximation discrete objective function, the learning function to the form of a decision tree. Platform: |
Size: 2048 |
Author:陈星星 |
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Description: 数据挖掘的经典算法的java实现，含源码和说明。包括了ID3决策树，贝叶斯分类器等经典算法。-A Java implementation of classic data mining algorithm, including source code and instructions. Including the ID3 decision tree, bayes classifier and classic algorithms. Platform: |
Size: 450560 |
Author:ming |
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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. Platform: |
Size: 2048 |
Author:李菲 |
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Description: 采用Java实现的ID3决策树算法，基本实现了原理，支持分类，只支持标称型变量。-Java implementation using ID3 decision tree algorithm, the basic realization of the principle, support the classification, only support a nominal variable. Platform: |
Size: 5120 |
Author:iihaozl |
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Description: 基于matlab开发平台的决策树的实现，该算法比较精良容易懂。-the realization of decision tree：Implementation of decision tree based on MATLAB development platform, the algorithm is relatively good
Platform: |
Size: 3072 |
Author:wutian |
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Description: 游戏AI介绍及决策树ID3算法的一个实现源码及思维过程。-Game AI introduction and ID3 decision tree algorithm source code and an implementation of the thinking process. Platform: |
Size: 121856 |
Author:wanghongyu |
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Description: 自己使用R，语言编写的决策树实现算法，比较容易理解，大家可以-Using the R language to achieve the decision tree algorithm implementation, easier to understand Platform: |
Size: 2048 |
Author:陈行 |
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Search - decision tree algorithm implementation