Description: AOI（面向属性的归纳）是数据分析中有效的数据约简手段，该算法可以实现对属性的消减和泛化。-AOI (attribute-oriented induction) is a data analysis and effective means of data reduction, The algorithm can achieve the right attributes abatement and generalization. Platform: |
Size: 1448174 |
Author:杨怡 |
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Description: 对于布尔属性决定信息增益,得出在给定规则的情况下的信息熵的平均约简-Boolean attribute information for the decision to add, come to the rules in a given case the average information entropy reduction Platform: |
Size: 18432 |
Author:陈雪娇 |
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Description: rosetta是一个粗糙集的处理软件，里面集成了大量的粗糙集的算法，里面有算法可以对数据进行预处理，可以对数据的属性和属性值进行约简。-rosetta is a rough set of processing software, which integrates a large number of rough set algorithm, which has the data preprocessing algorithm, the data can be attributes and attribute values reduction. Platform: |
Size: 2067456 |
Author:曹盛文 |
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Description: rosetta软件，用于系统故障诊断粗糙集属性约简，由21个参数减少到4个参数，有利于训练神经网络。-rosetta software for system troubleshooting rough set attribute reduction, 21 parameters reduced to four parameters, help train the neural network. Platform: |
Size: 44032 |
Author:小不一丁点 |
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Description: 遗传算法处理粗糙集分析题中的属性约简。同时能根据实际空气数据生成决策表。-The genetic algorithm of rough set attribute reduction problem in analysis. At the same time, according to the actual air data to generate the decision table. Platform: |
Size: 24576 |
Author:yangxu |
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Description: 基于粗糙集和遗传算法的属性约简，包含核及不可区分关系等求解-Attribute reduction based on rough sets and genetic algorithm, including nuclear and indistinguishable relationship to solve Platform: |
Size: 814080 |
Author:呀 |
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Description: 粗糙集属性约减的几种方法，包括基于正领域与信息熵等，简单通俗易懂。-Several methods of rough set attribute reduction, including the field of information based on positive entropy, simple easy to understand. Platform: |
Size: 14336 |
Author:刘燕 |
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Description: 这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。-This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets. Platform: |
Size: 2542592 |
Author:robert |
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Description: 邻域粗糙集属性约简程序，约简方法为胡清华的前向贪心算法，包含求正域，属性重要度计算及最后约简出的重要属性。-Neighborhood rough set attribute reduction program, before the reduction method for qing-hua hu to the greedy algorithm, contains positive region, calculation and the reduction of attribute importance of important attributes. Platform: |
Size: 9216 |
Author:anna |
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Description: The discretization of attribute reduction of rough set and the method of rule extraction are described Platform: |
Size: 5120 |
Author:刘小红 |
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Description: 属性约简是粗糙集理论中最核心的问题。文章阐述了基于信息熵、可辨识矩阵、遗传算法、 Johnson 等粗糙集属
性约简算法流程，指出了粗糙集属性约简算法的现有问题及发展趋势，促进粗糙集属性约简的研究进一步发展。(Attribute reduction is the most important problem in rough set theory. In this paper, the rough sets based on information entropy, discernibility matrix, genetic algorithm and Johnson are expounded
The flow chart of attribute reduction algorithm, points out the existing problems and development trend of attribute reduction algorithms in rough sets, and promotes further development of attribute reduction in rough sets.) Platform: |
Size: 1459200 |
Author:九月永生
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Description: 对图像特征进行属性约简，找到最适合分类的特征。(Attribute reduction of image features, to find the most suitable features of classification) Platform: |
Size: 540672 |
Author:林林丽丽xll
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Description: 粗糙集理论中最重要的内容之一就是属性约简问题，现有的许多属性约简算法往往是基于属性对分类的重要性，如果属性约简的结果能满足用户实际需要的信息，如成本、用户的偏好等，那么约简理论将会有更高的实用价值。基于此，从信息熵的角度定义了带权重的属性重要性，然后重新定义了基于带权重的属性重要性的熵约简算法。最后通过实际例子说明，与基于属性重要性的熵约简算法相比，考虑权重的算法更加符合用户的实际需求。(Attribute reduction is one of the most important contents of rough set theory, and many of the existing reduction algorithms are often based on attribute importance.) Platform: |
Size: 857088 |
Author:davidcuit
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Description: 里面含有连续型数据集，离散型数据集以及混合型数据集可以用于属性约简，特征选择等算法的实验仿真。以及直接导入weka软件。(It contains continuous data sets, discrete data sets and mixed data sets, and can be used for the experimental simulation of attribute reduction and feature selection algorithms. And import the Weka software directly.) Platform: |
Size: 2085888 |
Author:GG-993
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Description: 粗糙集属性约简的集成化软件，可以再windowsXP上运行，界面简单，软件轻量。(The integrated software of rough set attribute reduction can be run on Windows XP with simple interface and lightweight software.) Platform: |
Size: 9523200 |
Author:SIDEPOT |
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