详细说明：一个小型的数据挖掘器应用软件,综合数据挖掘的各种功能，包括关联分析模块、分类模块、聚类分析模块-a small application for data mining software, integrated data mining of various functions, including relational analysis module, Classification Module, cluster analysis module

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 相关搜索: weka data mining weka 应用 数据挖掘 weka 关联分析  数据挖掘 聚类分析 weka_datamining weka bayesnet 原理 weka 下载 数据挖掘 聚类 挖掘 bifreader 数据挖掘 分类 综合 

 [JSmartMiner.rar] - 【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
 [libmad-0.15.1b.tar.gz] - linux下MPEG编解码程序，有vc工程，纯C代码
 [UCI.rar] - 这是一个基于weka数据挖掘的实验测试数据集,格式为.arff,里面包含有名词性和数值型的数据集,用于weka挖掘测试.
 
 [classifiers.rar] - 数据挖掘classifiers算法，用JAVA实现的分类算法。
 [cluster_KM_DS.rar] - 聚类研究，实现了基于距离，基于密度和改进算法
 [EclipseSetupForweka.zip] - 这是一个关于在eclipse中如何配置weka源代码的说明,对于WEKA的二次开发提供了帮助.
 [weka.bn.zip] - 这是一片介绍关于data mining 中的 classificaiton的文章，简洁明了地说了weka的使用和原理，英文
 [3.rar] - WEB日志挖掘！
 [DW_OLAP.rar] - 数据仓库技术和OLAP研究，数据仓库、数据挖掘和OLAP分析及其应用实例

文件列表(点击判断是否您需要的文件):
  weka数据挖掘软件
  ................\associations
  ................\............\Apriori.java
  ................\............\AprioriItemSet.java
  ................\............\Associator.java
  ................\............\CaRuleGeneration.java
  ................\............\CARuleMiner.java
  ................\............\ItemSet.java
  ................\............\LabeledItemSet.java
  ................\............\PredictiveApriori.java
  ................\............\PriorEstimation.java
  ................\............\RuleGeneration.java
  ................\............\RuleItem.java
  ................\............\tertius
  ................\............\.......\AttributeValueLiteral.java
  ................\............\.......\Body.java
  ................\............\.......\Head.java
  ................\............\.......\IndividualInstance.java
  ................\............\.......\IndividualInstances.java
  ................\............\.......\IndividualLiteral.java
  ................\............\.......\Literal.java
  ................\............\.......\LiteralSet.java
  ................\............\.......\Predicate.java
  ................\............\.......\Rule.java
  ................\............\.......\SimpleLinkedList.java
  ................\............\Tertius.java
  ................\attributeSelection
  ................\..................\ASEvaluation.java
  ................\..................\ASSearch.java
  ................\..................\AttributeEvaluator.java
  ................\..................\AttributeSelection.java
  ................\..................\AttributeSetEvaluator.java
  ................\..................\AttributeTransformer.java
  ................\..................\BestFirst.java
  ................\..................\CfsSubsetEval.java
  ................\..................\ChiSquaredAttributeEval.java
  ................\..................\ClassifierSubsetEval.java
  ................\..................\ConsistencySubsetEval.java
  ................\..................\ErrorBasedMeritEvaluator.java
  ................\..................\ExhaustiveSearch.java
  ................\..................\FCBFSearch.java
  ................\..................\GainRatioAttributeEval.java
  ................\..................\GeneticSearch.java
  ................\..................\GreedyStepwise.java
  ................\..................\HoldOutSubsetEvaluator.java
  ................\..................\InfoGainAttributeEval.java
  ................\..................\OneRAttributeEval.java
  ................\..................\PrincipalComponents.java
  ................\..................\RaceSearch.java
  ................\..................\RandomSearch.java
  ................\..................\RankedOutputSearch.java
  ................\..................\Ranker.java
  ................\..................\RankSearch.java
  ................\..................\ReliefFAttributeEval.java
  ................\..................\StartSetHandler.java
  ................\..................\SubsetEvaluator.java
  ................\..................\SVMAttributeEval.java
  ................\..................\SymmetricalUncertAttributeEval.java
  ................\..................\SymmetricalUncertAttributeSetEval.java
  ................\..................\UnsupervisedAttributeEvaluator.java
  ................\..................\UnsupervisedSubsetEvaluator.java
  ................\..................\WrapperSubsetEval.java
  ................\build.xml
  ................\classifiers
  ................\...........\bayes
  ................\...........\.....\AODE.java
  ................\...........\.....\BayesNet.java
  ................\...........\.....\ComplementNaiveBayes.java
  ................\...........\.....\HNB.java
  ................\...........\.....\NaiveBayes.java
  ................\...........\.....\NaiveBayesMultinomial.java
  ................\...........\.....\NaiveBayesSimple.java
  ................\...........\.....\NaiveBayesUpdateable.java
  ................\...........\.....\net
  ................\...........\.....\...\ADNode.java
  ................\...........\.....\...\BayesNetGenerator.java
  ................\...........\.....\...\BIFReader.java
  ................\...........\.....\...\estimate
  ................\...........\.....\...\........\BayesNetEstimator.java
  ................\...........\.....\...\........\BMAEstimator.java
  ................\...........\.....\...\........\DiscreteEstimatorBayes.java
  ................\...........\.....\...\........\DiscreteEstimatorFullBayes.java
  ................\...........\.....\...\........\MultiNomialBMAEstimator.java
  ................\...........\.....\...\........\SimpleEstimator.java
  ................\...........\.....\...\ParentSet.java
  ................\...........\.....\...\search
  ... ...