Description: 一个用Apriori算法实现的数据挖掘关联规则程序-An implementation of Association Rules Data Mining using Apriori Algorithm Platform: |
Size: 84992 |
Author:潘文斌 |
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Description: java数据挖掘算法，里面有c45,chc,fss,id3,nb等方面的算法，及相关源代码-data mining algorithms, and they C45, CHC, FSS, id3, nb areas of algorithms, and related source code Platform: |
Size: 450560 |
Author:徐高波 |
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Description: 本程序是用java语言编写的数据挖掘分类算法中的决策树分类方法c4.5程序代码-this procedure is used java language classification of data mining algorithms decision tree classification code Bank Platform: |
Size: 240640 |
Author:李雪 |
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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: Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
一个可以实现多种方法分类的软件，利用各个
对象的属性。决策树，距离、密度等-Weka is a collection of machine learning al gorithms for data mining tasks. The algorithms can either be applied directly to a dataset or ca lled from your own Java code. Weka contains tool 's for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for d eveloping new machine learning schemes. can be a real Categories are various methods of software, using all the attributes of objects. Decision Tree, distance, density, etc. Platform: |
Size: 15446016 |
Author:马何坛 |
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Description: weka是机器学习和数据挖掘领域最有影响力的开源项目之一，大量实用的代码-weka is machine learning and data mining areas of the most influential open source projects, a lot of practical code Platform: |
Size: 14822400 |
Author:null |
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Description: 一个数据挖掘软件ALPHAMINERR的整个过程的JAVA版源代码-a data mining software ALPHAMINERR the entire process version of the Java source code Platform: |
Size: 13399040 |
Author:carolye |
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Description: 各种数据挖掘算法的源代码，很齐全，很好用的阿！-data mining algorithm source code is very comprehensive and good use of A! Platform: |
Size: 8887296 |
Author:zz |
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Description: id3算法的java实现，《机器学习及java实现》一书里面的-id3 algorithm java to achieve, machine learning and java to achieve a book inside Platform: |
Size: 3072 |
Author:王新 |
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Description: 该代码是数据挖掘里面的决策树算法 利用c45理论，通过对训练数据的分析判断，计算出各个数据的其它对目标属性的重要程度，即计算出每个其它数据的信息增益值来将训练数据逐步分类，最后得出目标分类，从而实现决策树的生成过程。最后即可利用此决策树来对新的数据进行测试，判断其目标属性的可能值。-The code is a data mining using decision tree algorithm inside the C45 theory, through the analysis of training data to calculate all the other data attributes on the target level of importance, that is, every other data to calculate the information gain value of the training data Category gradually came to the conclusion that the target classification, in order to realize the process of decision tree generation. Finally you can use this decision tree to test the new data to determine its target attributes possible values. Platform: |
Size: 769024 |
Author:zkm |
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Description: 这是关于数据挖掘的一些算法，里面包括了许多有关数据挖掘的数学算法的源代码，大家可以学习-This is on a number of data mining algorithms, which include many of the mathematical algorithms of data mining source code, everyone can learn Platform: |
Size: 168960 |
Author:乐乐 |
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Description: Weka，一个数据挖掘工具。功能包括：分类、聚类和关联规则等等。这是该开源软件的源代码，版本为3.5.7-Weka, a data mining tool. Features include: classification, clustering and association rules, etc.. This is the open source software source code, version 3.5.7 Platform: |
Size: 4790272 |
Author:Jess |
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Description: 本程序是一个用java语言开发的apriori算法的源代码，该算法主要用于数据挖掘。-This procedure is developed using java language apriori algorithm source code, the algorithm is mainly used for data mining. Platform: |
Size: 41984 |
Author:buzhidao |
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Description: apriori算法是经典的数据挖掘算法，本源码以可视化界面的形式将结果展示给用户。-apriori algorithm is a classical data mining algorithms, the source code to the form of visual interface, the results show to the user. Platform: |
Size: 3072 |
Author:聂风 |
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