Description: 基于vc的决策树的分类算法是ID3算法的演变-vc on the decision tree classification algorithm is the evolution ID3 algorithm Platform: |
Size: 491093 |
Author:磨高尚 |
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Description: 这是数据挖掘分类算法中的C4.5算法的C实现版本，为Linux下的，希望对大家有所帮助。-This is the classification of data mining algorithms to the C4.5 algorithm to achieve the C version of Linux. We want to help. Platform: |
Size: 160593 |
Author:cnjn |
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Description: 本程序是用c语言编写的基于决策树分类方法的数据挖掘算法，它对测试集进行分类，挖掘出潜在的规则-this procedure is used to prepare the language c decision tree classification based on the data mining algorithm, which tests set for classification, tapping the potential rules Platform: |
Size: 149504 |
Author:李雪 |
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Description: 此代码是用c语言编写的决策树的c4.5代码，它是数据挖掘分类算法中的一种，可以对给定数据集进行分类，挖掘出规则-this code is c language of the decision tree Bank code, which is data mining classification algorithm of a can of a given data set for classification, tapping rules Platform: |
Size: 223232 |
Author:李雪 |
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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 Platform: |
Size: 1024 |
Author:唐宇 |
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Description: 用于数据挖掘的分类算法,基于c语言的,一个c4.5分类算法-used for the classification of data mining algorithms, based on the c language, a classification algorithm c4.5 Platform: |
Size: 160768 |
Author:黄芳 |
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Description: 基于vc的决策树的分类算法是ID3算法的演变-vc on the decision tree classification algorithm is the evolution ID3 algorithm Platform: |
Size: 490496 |
Author:磨高尚 |
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Description: 这是一个改进的C4.5决策数算法C++类，可用于连续值和离散值的分类-This is an improved algorithm for decision-making C4.5 C can be used in continuous-valued and discrete values classification Platform: |
Size: 31744 |
Author:wuxing |
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Description: 这是数据挖掘分类算法中的C4.5算法的C实现版本，为Linux下的，希望对大家有所帮助。-This is the classification of data mining algorithms to the C4.5 algorithm to achieve the C version of Linux. We want to help. Platform: |
Size: 160768 |
Author:cnjn |
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Description: 用matlab语言写的C4.5算法,用于模式分类-Matlab language used to write the C4.5 algorithm for pattern classification Platform: |
Size: 2048 |
Author:罗升阳 |
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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: 一个相对很完善的数据挖掘系统（少部分功能欠缺），不仅包括了按类Association（内含Apriori，C4.5，GrowTree）,Classification(ID3),Cluster划分常用的算法及个人优化后的算法。同时包含了多种数据源（MS Access，Excel，SQL Server，TEXT）的界面直接连接方式。界面方面更像一个专业的系统，采用了类VC浮动多框架界面，也可以作为界面编程的参考。这个工程的分数和其他小工具的分数一样，感觉亏大了:)-A relatively well-developed data mining system (a small number of features are not available), including not only the per-class Association (containing Apriori, C4.5, GrowTree), Classification (ID3), Cluster algorithm for division of common and individual optimized algorithms. Also includes a variety of data sources (MS Access, Excel, SQL Server, TEXT) means direct connection interface. Interfaces more like a professional system that uses a type of floating multi-frame interface, VC can also be programmed as an interface reference. The project scores and scores of other small tools, like, sensory loss big:) Platform: |
Size: 572416 |
Author:马志强 |
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Description: C4.5 is an algorithm used to generate a decision tree. C4.5 is an extension of Quinlan s earlier ID3 algorithm. The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier. Platform: |
Size: 2502656 |
Author:bwindhya |
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