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文件名称:weka402

  • 所属分类：
    人工智能/神经网络/遗传算法
  • 标签属性：
    [HTML]
  • 上传时间：
    2008-10-13
  • 文件大小：
    3.79mb
  • 已下载：
    0次
  • 提 供 者：
    龚***
  • 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！
修正介绍说明

介绍说明－－下载内容来自于网络，使用问题请自行百度

< 数据挖掘--实用机器学习技术及java实现> 一书结合数据挖掘和机器学习的知识,作者陈述了自动挖掘模式的基础理论,并且以java语言实现了具有代表性的各类数据挖掘方法.例如:classifier中的ZeroR.OneR.NaiveBayes.DecisionTable.IBK.C45,还有聚类,数据预处理等.
(系统自动生成,下载前可以参看下载内容)

下载文件列表

weka402
weka402/CHANGELOG-3-2
weka402/doc
weka402/doc/allclasses-frame.html
weka402/doc/deprecated-list.html
weka402/doc/help-doc.html
weka402/doc/index-all.html
weka402/doc/index.html
weka402/doc/overview-frame.html
weka402/doc/overview-summary.html
weka402/doc/overview-tree.html
weka402/doc/package-list
weka402/doc/packages.html
weka402/doc/serialized-form.html
weka402/doc/stylesheet.css
weka402/doc/weka
weka402/doc/weka/associations
weka402/doc/weka/associations/Apriori.html
weka402/doc/weka/associations/Associator.html
weka402/doc/weka/associations/ItemSet.html
weka402/doc/weka/associations/package-frame.html
weka402/doc/weka/associations/package-summary.html
weka402/doc/weka/associations/package-tree.html
weka402/doc/weka/attributeSelection
weka402/doc/weka/attributeSelection/ASEvaluation.html
weka402/doc/weka/attributeSelection/ASSearch.html
weka402/doc/weka/attributeSelection/AttributeEvaluator.html
weka402/doc/weka/attributeSelection/AttributeSelection.html
weka402/doc/weka/attributeSelection/AttributeTransformer.html
weka402/doc/weka/attributeSelection/BestFirst.html
weka402/doc/weka/attributeSelection/BestFirst.Link2.html
weka402/doc/weka/attributeSelection/BestFirst.LinkedList2.html
weka402/doc/weka/attributeSelection/CfsSubsetEval.html
weka402/doc/weka/attributeSelection/ChiSquaredAttributeEval.html
weka402/doc/weka/attributeSelection/ClassifierSubsetEval.html
weka402/doc/weka/attributeSelection/ConsistencySubsetEval.hashKey.html
weka402/doc/weka/attributeSelection/ConsistencySubsetEval.html
weka402/doc/weka/attributeSelection/ErrorBasedMeritEvaluator.html
weka402/doc/weka/attributeSelection/ExhaustiveSearch.html
weka402/doc/weka/attributeSelection/ForwardSelection.html
weka402/doc/weka/attributeSelection/GainRatioAttributeEval.html
weka402/doc/weka/attributeSelection/GeneticSearch.GABitSet.html
weka402/doc/weka/attributeSelection/GeneticSearch.html
weka402/doc/weka/attributeSelection/HoldOutSubsetEvaluator.html
weka402/doc/weka/attributeSelection/InfoGainAttributeEval.html
weka402/doc/weka/attributeSelection/OneRAttributeEval.html
weka402/doc/weka/attributeSelection/package-frame.html
weka402/doc/weka/attributeSelection/package-summary.html
weka402/doc/weka/attributeSelection/package-tree.html
weka402/doc/weka/attributeSelection/PrincipalComponents.html
weka402/doc/weka/attributeSelection/RaceSearch.html
weka402/doc/weka/attributeSelection/RandomSearch.html
weka402/doc/weka/attributeSelection/RankedOutputSearch.html
weka402/doc/weka/attributeSelection/Ranker.html
weka402/doc/weka/attributeSelection/RankSearch.html
weka402/doc/weka/attributeSelection/ReliefFAttributeEval.html
weka402/doc/weka/attributeSelection/StartSetHandler.html
weka402/doc/weka/attributeSelection/SubsetEvaluator.html
weka402/doc/weka/attributeSelection/SymmetricalUncertAttributeEval.html
weka402/doc/weka/attributeSelection/UnsupervisedAttributeEvaluator.html
weka402/doc/weka/attributeSelection/UnsupervisedSubsetEvaluator.html
weka402/doc/weka/attributeSelection/WrapperSubsetEval.html
weka402/doc/weka/classifiers
weka402/doc/weka/classifiers/AdaBoostM1.html
weka402/doc/weka/classifiers/AdditiveRegression.html
weka402/doc/weka/classifiers/adtree
weka402/doc/weka/classifiers/adtree/ADTree.html
weka402/doc/weka/classifiers/adtree/package-frame.html
weka402/doc/weka/classifiers/adtree/package-summary.html
weka402/doc/weka/classifiers/adtree/package-tree.html
weka402/doc/weka/classifiers/adtree/PredictionNode.html
weka402/doc/weka/classifiers/adtree/ReferenceInstances.html
weka402/doc/weka/classifiers/adtree/Splitter.html
weka402/doc/weka/classifiers/adtree/TwoWayNominalSplit.html
weka402/doc/weka/classifiers/adtree/TwoWayNumericSplit.html
weka402/doc/weka/classifiers/AttributeSelectedClassifier.html
weka402/doc/weka/classifiers/Bagging.html
weka402/doc/weka/classifiers/BVDecompose.html
weka402/doc/weka/classifiers/CheckClassifier.html
weka402/doc/weka/classifiers/ClassificationViaRegression.html
weka402/doc/weka/classifiers/Classifier.html
weka402/doc/weka/classifiers/CostMatrix.html
weka402/doc/weka/classifiers/CostSensitiveClassifier.html
weka402/doc/weka/classifiers/CVParameterSelection.CVParameter.html
weka402/doc/weka/classifiers/CVParameterSelection.html
weka402/doc/weka/classifiers/DecisionStump.html
weka402/doc/weka/classifiers/DecisionTable.hashKey.html
weka402/doc/weka/classifiers/DecisionTable.html
weka402/doc/weka/classifiers/DecisionTable.Link.html
weka402/doc/weka/classifiers/DecisionTable.LinkedList.html
weka402/doc/weka/classifiers/DistributionClassifier.html
weka402/doc/weka/classifiers/DistributionMetaClassifier.html
weka402/doc/weka/classifiers/evaluation
weka402/doc/weka/classifiers/evaluation/ConfusionMatrix.html
weka402/doc/weka/classifiers/evaluation/CostCurve.html
weka402/doc/weka/classifiers/evaluation/EvaluationUtils.html
weka402/doc/weka/classifiers/evaluation/MarginCurve.html
weka402/doc/weka/classifiers/evaluation/NominalPrediction.html
weka402/doc/weka/classifiers/evaluation/NumericPrediction.html
weka402/doc/weka/classifiers/evaluation/package-frame.html
weka402/doc/weka/classifiers/evaluation/package-summary.html
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