文件名称:JSmartMiner
- 所属分类:
- 人工智能/神经网络/遗传算法
- 资源属性:
- [C/C++] [Java] [源码]
- 上传时间:
- 2012-11-26
- 文件大小:
- 130kb
- 下载次数:
- 0次
- 提 供 者:
- 洪**
- 相关连接:
- 无
- 下载说明:
- 别用迅雷下载,失败请重下,重下不扣分!
介绍说明--下载内容均来自于网络,请自行研究使用
【源码共享系列-JSmartMiner.Eclipse】一个JAVA版本的数据挖掘基本框架体系,框架设计理念参考了德国著名的数据挖掘算法库XELOPES,但进行了大量的缩写,主要是为了方便研究,希望能够给在数据挖掘方面的研究工作者提供一个更有力的试验平台。(注:可以在本网站上找到本人上传的C++版本的SmartMiner)-source sharing Series-JSmartMiner.Eclipse-- a Java version of the basic fr a mework of data mining system, the fr a mework of the reference design concept famous German data mining algorithms for XELOPES, but for a lot of initials is mainly to facilitate the study and hope to be able to in the Data Mining Institute study workers with a more powerful test platform. (Note : This site can be found on my upload versions of the C SmartMiner)
(系统自动生成,下载前可以参看下载内容)
下载文件列表
JSmartMiner
...........\.classpath
...........\.project
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...........\....\labor.arff
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...........\....\sequential.arff
...........\....\soybean.arff
...........\....\soybean2.arff
...........\....\soybeanTest.arff
...........\....\soybeanTrain.arff
...........\....\vote.arff
...........\....\vowel.arff
...........\....\weather.arff
...........\....\weather.csv
...........\....\weather.nominal.arff
...........\....\weather.nominal.with.missings.arff
...........\classes
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...........\.......\...\scut
...........\.......\...\....\DataMining
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...........\.......\...\....\..........\.........\AssociationRule
...........\.......\...\....\..........\.........\...............\Core
...........\.......\...\....\..........\.........\Classification
...........\.......\...\....\..........\.........\..............\Core
...........\.......\...\....\..........\.........\Clustering
...........\.......\...\....\..........\.........\..........\Core
...........\.......\...\....\..........\.........\NeuralNetwork
...........\.......\...\....\..........\.........\.............\BP
...........\.......\...\....\..........\.........\.............\..\BP.class
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........
...........\.classpath
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...........\....\audiology.arff
...........\....\bp.ini
...........\....\contact-lenses.arff
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...........\....\iris.arff
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...........\....\soybean.arff
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...........\.......\...\....\..........\.........\Classification
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...........\.......\...\....\..........\.........\.............\..\Parameter.class
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...........\.......\...\....\..........\.........\.............\....\.................\Linear.class
...........\.......\...\....\..........\.........\.............\....\.................\Sigmoid.class
...........\.......\...\....\..........\.........\.............\....\Layer$LayerType.class
...........\.......\...\....\..........\.........\.............\....\Layer.class
...........\.......\...\....\..........\.........\.............\....\Neuron.class
...........\.......\...\....\..........\.........\.............\....\Synapse.class
...........\.......\...\....\..........\Core
...........\.......\...\....\..........\....\MiningAttribute.class
...........\.......\...\....\..........\....\MiningData.class
...........\.......\...\....\..........\....\MiningException.class
...........\.......\...\....\..........\....\MiningMetaData.class
...........\.......\...\....\..........\....\NominalAttribute.class
...........\.......\...\....\..........\....\NumericAttribute.class
...........\.......\...\....\..........\Input
...........\.......\...\....\..........\.....\File
...........\.......\...\....\..........\.....\....\MiningArffStream.class
...........\.......\...\....\..........\.....\MiningInputStream.class
...........\.......\...\....\..........\Test
...........\.......\...\....\..........\....\PMM.class
...........\.......\...\....\..........\....\TestCenter.class
...........\src
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...........\...\...\....\DataMining
...........\...\...\....\..........\Algorithm
...........\...\...\....\..........\.........\AssociationRule
...........\...\...\....\..........\.........\...............\Core
...........\...\...\....\..........\.........\Classification
...........\...\...\....\..........\.........\..............\Core
...........\...\...\....\..........\.........\Clustering
...........\...\...\....\..........\.........\..........\Core
...........\...\...\....\..........\.........\NeuralNetwork
...........\...\...\....\..........\.........\.............\BP
...........\...\...\....\..........\.........\.............\..\BP.java
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