Introduction - If you have any usage issues, please Google them yourself
: & lt; & lt; Data mining -- practical machine learning technology and Java implementation > & gt; Supporting source program, combining with the knowledge of data mining and machine learning, in the Java language to achieve the representative of all kinds of data mining methods. For example: classifier of ZeroR. OneR. NaiveBayes. DecisionTable. IBK. C45, and clustering, data pretreatment, etc - : lt; Lt; Data Mining-- Practical Machine Learning Technology and Java achieve gt; Gt; A matching the source, combining data mining, and machine learning, the knowledge of the Java language to A representative of the various types of data mining,. For example: the classifier ZeroR. OneR. NaiveBayes. DecisionTable. IBK. C45, clustering, data pretreatment
Packet : 228549weka.rar filelist
weka\associations\Apriori.java
weka\associations\Associator.java
weka\associations\ItemSet.java
weka\associations
weka\attributeSelection\ASEvaluation.java
weka\attributeSelection\ASSearch.java
weka\attributeSelection\AttributeEvaluator.java
weka\attributeSelection\AttributeSelection.java
weka\attributeSelection\AttributeTransformer.java
weka\attributeSelection\BestFirst.java
weka\attributeSelection\CfsSubsetEval.java
weka\attributeSelection\ChiSquaredAttributeEval.java
weka\attributeSelection\ClassifierSubsetEval.java
weka\attributeSelection\ConsistencySubsetEval.java
weka\attributeSelection\ErrorBasedMeritEvaluator.java
weka\attributeSelection\ExhaustiveSearch.java
weka\attributeSelection\ForwardSelection.java
weka\attributeSelection\GainRatioAttributeEval.java
weka\attributeSelection\GeneticSearch.java
weka\attributeSelection\HoldOutSubsetEvaluator.java
weka\attributeSelection\InfoGainAttributeEval.java
weka\attributeSelection\OneRAttributeEval.java
weka\attributeSelection\PrincipalComponents.java
weka\attributeSelection\RaceSearch.java
weka\attributeSelection\RandomSearch.java
weka\attributeSelection\RankSearch.java
weka\attributeSelection\RankedOutputSearch.java
weka\attributeSelection\Ranker.java
weka\attributeSelection\ReliefFAttributeEval.java
weka\attributeSelection\StartSetHandler.java
weka\attributeSelection\SubsetEvaluator.java
weka\attributeSelection\SymmetricalUncertAttributeEval.java
weka\attributeSelection\UnsupervisedAttributeEvaluator.java
weka\attributeSelection\UnsupervisedSubsetEvaluator.java
weka\attributeSelection\WrapperSubsetEval.java
weka\attributeSelection
weka\classifiers\adtree\ADTree.java
weka\classifiers\adtree\PredictionNode.java
weka\classifiers\adtree\ReferenceInstances.java
weka\classifiers\adtree\Splitter.java
weka\classifiers\adtree\TwoWayNominalSplit.java
weka\classifiers\adtree\TwoWayNumericSplit.java
weka\classifiers\adtree
weka\classifiers\AdaBoostM1.java
weka\classifiers\AdditiveRegression.java
weka\classifiers\AttributeSelectedClassifier.java
weka\classifiers\BVDecompose.java
weka\classifiers\Bagging.java
weka\classifiers\CVParameterSelection.java
weka\classifiers\CheckClassifier.java
weka\classifiers\ClassificationViaRegression.java
weka\classifiers\Classifier.java
weka\classifiers\CostMatrix.java
weka\classifiers\CostSensitiveClassifier.java
weka\classifiers\DecisionStump.java
weka\classifiers\DecisionTable.java
weka\classifiers\DistributionClassifier.java
weka\classifiers\DistributionMetaClassifier.java
weka\classifiers\Evaluation.java
weka\classifiers\FilteredClassifier.java
weka\classifiers\HyperPipes.java
weka\classifiers\IB1.java
weka\classifiers\IBk.java
weka\classifiers\Id3.java
weka\classifiers\IterativeClassifier.java
weka\classifiers\KernelDensity.java
weka\classifiers\LWR.java
weka\classifiers\LinearRegression.java
weka\classifiers\Logistic.java
weka\classifiers\LogitBoost.java
weka\classifiers\MetaCost.java
weka\classifiers\MultiClassClassifier.java
weka\classifiers\MultiScheme.java
weka\classifiers\NaiveBayes.java
weka\classifiers\NaiveBayesSimple.java
weka\classifiers\OneR.java
weka\classifiers\Prism.java
weka\classifiers\RegressionByDiscretization.java
weka\classifiers\SMO.java
weka\classifiers\Sourcable.java
weka\classifiers\Stacking.java
weka\classifiers\ThresholdSelector.java
weka\classifiers\UpdateableClassifier.java
weka\classifiers\UserClassifier.java
weka\classifiers\VFI.java
weka\classifiers\VotedPerceptron.java
weka\classifiers\ZeroR.java
weka\classifiers\evaluation\ConfusionMatrix.java
weka\classifiers\evaluation\CostCurve.java
weka\classifiers\evaluation\EvaluationUtils.java
weka\classifiers\evaluation\MarginCurve.java
weka\classifiers\evaluation\NominalPrediction.java
weka\classifiers\evaluation\NumericPrediction.java
weka\classifiers\evaluation\Prediction.java
weka\classifiers\evaluation\ThresholdCurve.java
weka\classifiers\evaluation\TwoClassStats.java
weka\classifiers\evaluation
weka\classifiers\j48\BinC45ModelSelection.java
weka\classifiers\j48\BinC45Split.java
weka\classifiers\j48\C45ModelSelection.java
weka\classifiers\j48\C45PruneableClassifierTree.java
weka\classifiers\j48\C45PruneableDecList.java
weka\classifiers\j48\C45Split.java
weka\classifiers\j48\ClassifierDecList.java
weka\classifiers\j48\ClassifierSplitModel.java
weka\classifiers\j48\ClassifierTree.java
weka\classifiers\j48\Distribution.java
weka\classifiers\j48\EntropyBasedSplitCrit.java
weka\classifiers\j48\EntropySplitCrit.java
weka\classifiers\j48\GainRatioSplitCrit.java
weka\classifiers\j48\InfoGainSplitCrit.java
weka\classifiers\j48\J48.java
weka\classifiers\j48\MakeDecList.java
weka\classifiers\j48\ModelSelection.java
weka\classifiers\j48\NoSplit.java
weka\classifiers\j48\PART.java
weka\classifiers\j48\PruneableClassifierTree.java
weka\classifiers\j48\PruneableDecList.java
weka\classifiers\j48\SplitCriterion.java
weka\classifiers\j48\Stats.java
weka\classifiers\j48
weka\classifiers\kstar\KStar.java
weka\classifiers\kstar\KStarCache.java
weka\classifiers\kstar\KStarConstants.java
weka\classifiers\kstar\KStarNominalAttribute.java
weka\classifiers\kstar\KStarNumericAttribute.java
weka\classifiers\kstar\KStarWrapper.java
weka\classifiers\kstar\LightHashTable.java
weka\classifiers\kstar
weka\classifiers\m5\Dvector.java
weka\classifiers\m5\Errors.java
weka\classifiers\m5\Function.java
weka\classifiers\m5\Impurity.java
weka\classifiers\m5\Ivector.java
weka\classifiers\m5\M5Prime.java
weka\classifiers\m5\M5Utils.java
weka\classifiers\m5\Matrix.java
weka\classifiers\m5\Measures.java
weka\classifiers\m5\Node.java
weka\classifiers\m5\Options.java
weka\classifiers\m5\SplitInfo.java
weka\classifiers\m5\Values.java
weka\classifiers\m5
weka\classifiers\neural\LinearUnit.java
weka\classifiers\neural\NeuralConnection.java
weka\classifiers\neural\NeuralMethod.java
weka\classifiers\neural\NeuralNetwork.java
weka\classifiers\neural\NeuralNode.java
weka\classifiers\neural\SigmoidUnit.java
weka\classifiers\neural
weka\classifiers\EvaluationClient.java
weka\classifiers
weka\clusterers\ClusterEvaluation.java
weka\clusterers\Clusterer.java
weka\clusterers\Cobweb.java
weka\clusterers\DistributionClusterer.java
weka\clusterers\DistributionMetaClusterer.java
weka\clusterers\EM.java
weka\clusterers\SimpleKMeans.java
weka\clusterers
weka\core\converters\AbstractLoader.java
weka\core\converters\ArffLoader.java
weka\core\converters\C45Loader.java
weka\core\converters\CSVLoader.java
weka\core\converters\ConverterUtils.java
weka\core\converters\Loader.java
weka\core\converters\SerializedInstancesLoader.java
weka\core\converters
weka\core\AdditionalMeasureProducer.java
weka\core\Attribute.java
weka\core\AttributeStats.java
weka\core\BinarySparseInstance.java
weka\core\CheckOptionHandler.java
weka\core\ContingencyTables.java
weka\core\Copyable.java
weka\core\Drawable.java
weka\core\FastVector.java
weka\core\Instance.java
weka\core\Instances.java
weka\core\Matchable.java
weka\core\Matrix.java
weka\core\Option.java
weka\core\OptionHandler.java
weka\core\Queue.java
weka\core\Range.java
weka\core\SelectedTag.java
weka\core\SerializedObject.java
weka\core\SparseInstance.java
weka\core\SpecialFunctions.java
weka\core\Statistics.java
weka\core\Summarizable.java
weka\core\Tag.java
weka\core\UnassignedClassException.java
weka\core\UnassignedDatasetException.java
weka\core\UnsupportedAttributeTypeException.java
weka\core\UnsupportedClassTypeException.java
weka\core\Utils.java
weka\core\WeightedInstancesHandler.java
weka\core\WekaException.java
weka\core\DistributedServer.java
weka\core
weka\estimators\ConditionalEstimator.java
weka\estimators\DDConditionalEstimator.java
weka\estimators\DKConditionalEstimator.java
weka\estimators\DNConditionalEstimator.java
weka\estimators\DiscreteEstimator.java
weka\estimators\Estimator.java
weka\estimators\KDConditionalEstimator.java
weka\estimators\KKConditionalEstimator.java
weka\estimators\KernelEstimator.java
weka\estimators\MahalanobisEstimator.java
weka\estimators\NDConditionalEstimator.java
weka\estimators\NNConditionalEstimator.java
weka\estimators\NormalEstimator.java
weka\estimators\PoissonEstimator.java
weka\estimators
weka\experiment\AveragingResultProducer.java
weka\experiment\CSVResultListener.java
weka\experiment\ClassifierSplitEvaluator.java
weka\experiment\Compute.java
weka\experiment\CostSensitiveClassifierSplitEvaluator.java
weka\experiment\CrossValidationResultProducer.java
weka\experiment\DatabaseResultListener.java
weka\experiment\DatabaseResultProducer.java
weka\experiment\DatabaseUtils.java
weka\experiment\DatabaseUtils.props
weka\experiment\Experiment.java
weka\experiment\InstanceQuery.java
weka\experiment\InstancesResultListener.java
weka\experiment\LearningRateResultProducer.java
weka\experiment\OutputZipper.java
weka\experiment\PairedStats.java
weka\experiment\PairedTTester.java
weka\experiment\PropertyNode.java
weka\experiment\RandomSplitResultProducer.java
weka\experiment\RegressionSplitEvaluator.java
weka\experiment\RemoteEngine.java
weka\experiment\RemoteExperiment.java
weka\experiment\RemoteExperimentEvent.java
weka\experiment\RemoteExperimentListener.java
weka\experiment\RemoteExperimentSubTask.java
weka\experiment\ResultListener.java
weka\experiment\ResultProducer.java
weka\experiment\SplitEvaluator.java
weka\experiment\Stats.java
weka\experiment\Task.java
weka\experiment\TaskStatusInfo.java
weka\experiment
weka\filters\AbstractTimeSeriesFilter.java
weka\filters\AddFilter.java
weka\filters\AllFilter.java
weka\filters\AttributeExpressionFilter.java
weka\filters\AttributeFilter.java
weka\filters\AttributeSelectionFilter.java
weka\filters\AttributeTypeFilter.java
weka\filters\CopyAttributesFilter.java
weka\filters\DiscretizeFilter.java
weka\filters\EmptyAttributeFilter.java
weka\filters\Filter.java
weka\filters\FirstOrderFilter.java
weka\filters\InstanceFilter.java
weka\filters\MakeIndicatorFilter.java
weka\filters\MergeTwoValuesFilter.java
weka\filters\NominalToBinaryFilter.java
weka\filters\NonSparseToSparseFilter.java
weka\filters\NormalizationFilter.java
weka\filters\NullFilter.java
weka\filters\NumericToBinaryFilter.java
weka\filters\NumericTransformFilter.java
weka\filters\ObfuscateFilter.java
weka\filters\RandomizeFilter.java
weka\filters\ReplaceMissingValuesFilter.java
weka\filters\ResampleFilter.java
weka\filters\SparseToNonSparseFilter.java
weka\filters\SplitDatasetFilter.java
weka\filters\SpreadSubsampleFilter.java
weka\filters\StringToNominalFilter.java
weka\filters\SwapAttributeValuesFilter.java
weka\filters\TimeSeriesDeltaFilter.java
weka\filters\TimeSeriesTranslateFilter.java
weka\filters
weka\gui\experiment\DatasetListPanel.java
weka\gui\experiment\DistributeExperimentPanel.java
weka\gui\experiment\Experimenter.java
weka\gui\experiment\GeneratorPropertyIteratorPanel.java
weka\gui\experiment\HostListPanel.java
weka\gui\experiment\ResultsPanel.java
weka\gui\experiment\RunNumberPanel.java
weka\gui\experiment\RunPanel.java
weka\gui\experiment\SetupPanel.java
weka\gui\experiment
weka\gui\AttributeSelectionPanel.java
weka\gui\AttributeSummaryPanel.java
weka\gui\CostMatrixEditor.java
weka\gui\ExtensionFileFilter.java
weka\gui\FileEditor.java
weka\gui\GUIChooser.java
weka\gui\GenericArrayEditor.java
weka\gui\GenericObjectEditor.java
weka\gui\GenericObjectEditor.props
weka\gui\InstancesSummaryPanel.java
weka\gui\ListSelectorDialog.java
weka\gui\LogPanel.java
weka\gui\Logger.java
weka\gui\PropertyDialog.java
weka\gui\PropertyPanel.java
weka\gui\PropertySelectorDialog.java
weka\gui\PropertySheetPanel.java
weka\gui\PropertyText.java
weka\gui\PropertyValueSelector.java
weka\gui\ResultHistoryPanel.java
weka\gui\SaveBuffer.java
weka\gui\SelectedTagEditor.java
weka\gui\SetInstancesPanel.java
weka\gui\SimpleCLI.java
weka\gui\SysErrLog.java
weka\gui\TaskLogger.java
weka\gui\WekaTaskMonitor.java
weka\gui\explorer\AssociationsPanel.java
weka\gui\explorer\AttributeSelectionPanel.java
weka\gui\explorer\ClassifierPanel.java
weka\gui\explorer\ClustererPanel.java
weka\gui\explorer\Explorer.java
weka\gui\explorer\PreprocessPanel.java
weka\gui\explorer
weka\gui\streams\InstanceCounter.java
weka\gui\streams\InstanceEvent.java
weka\gui\streams\InstanceJoiner.java
weka\gui\streams\InstanceListener.java
weka\gui\streams\InstanceLoader.java
weka\gui\streams\InstanceProducer.java
weka\gui\streams\InstanceSavePanel.java
weka\gui\streams\InstanceTable.java
weka\gui\streams\InstanceViewer.java
weka\gui\streams\SerialInstanceListener.java
weka\gui\streams
weka\gui\treevisualizer\Colors.java
weka\gui\treevisualizer\Edge.java
weka\gui\treevisualizer\NamedColor.java
weka\gui\treevisualizer\Node.java
weka\gui\treevisualizer\NodePlace.java
weka\gui\treevisualizer\PlaceNode1.java
weka\gui\treevisualizer\PlaceNode2.java
weka\gui\treevisualizer\TreeBuild.java
weka\gui\treevisualizer\TreeDisplayEvent.java
weka\gui\treevisualizer\TreeDisplayListener.java
weka\gui\treevisualizer\TreeVisualizer.java
weka\gui\treevisualizer
weka\gui\visualize\AttributePanel.java
weka\gui\visualize\AttributePanelEvent.java
weka\gui\visualize\AttributePanelListener.java
weka\gui\visualize\ClassPanel.java
weka\gui\visualize\LegendPanel.java
weka\gui\visualize\Plot2D.java
weka\gui\visualize\Plot2DCompanion.java
weka\gui\visualize\PlotData2D.java
weka\gui\visualize\Visualize.props
weka\gui\visualize\VisualizePanel.java
weka\gui\visualize\VisualizePanelEvent.java
weka\gui\visualize\VisualizePanelListener.java
weka\gui\visualize\VisualizeUtils.java
weka\gui\visualize
weka\gui
weka