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< 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:class

<LI TYPE="circle">class weka.classifiers.evaluation.<A HREF="weka/classifiers/evaluation/ConfusionMatrix.html"><B>ConfusionMatrix</B></A><LI TYPE="circle">class weka.classifiers.<A HREF="weka/classifiers/CostMatrix.html"><B>CostMatrix</B></A></UL>
<LI TYPE="circle">class weka.classifiers.m5.<A HREF="weka/classifiers/m5/Matrix.html"><B>Matrix</B></A><LI TYPE="circle">class weka.classifiers.m5.<A HREF="weka/classifiers/m5/Measures.html"><B>Measures</B></A><LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/ModelSelection.html"><B>ModelSelection</B></A> (implements java.io.Serializable)
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<LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/BinC45ModelSelection.html"><B>BinC45ModelSelection</B></A><LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/C45ModelSelection.html"><B>C45ModelSelection</B></A></UL>
<LI TYPE="circle">class weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/NamedColor.html"><B>NamedColor</B></A><LI TYPE="circle">class weka.estimators.<A HREF="weka/estimators/NDConditionalEstimator.html"><B>NDConditionalEstimator</B></A> (implements weka.estimators.<A HREF="weka/estimators/ConditionalEstimator.html">ConditionalEstimator</A>)
<LI TYPE="circle">class weka.classifiers.neural.<A HREF="weka/classifiers/neural/NeuralConnection.html"><B>NeuralConnection</B></A> (implements java.io.Serializable)
<UL>
<LI TYPE="circle">class weka.classifiers.neural.<A HREF="weka/classifiers/neural/NeuralNetwork.NeuralEnd.html"><B>NeuralNetwork.NeuralEnd</B></A><LI TYPE="circle">class weka.classifiers.neural.<A HREF="weka/classifiers/neural/NeuralNode.html"><B>NeuralNode</B></A></UL>
<LI TYPE="circle">class weka.estimators.<A HREF="weka/estimators/NNConditionalEstimator.html"><B>NNConditionalEstimator</B></A> (implements weka.estimators.<A HREF="weka/estimators/ConditionalEstimator.html">ConditionalEstimator</A>)
<LI TYPE="circle">class weka.classifiers.m5.<A HREF="weka/classifiers/m5/Node.html"><B>Node</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/Node.html"><B>Node</B></A><LI TYPE="circle">class weka.classifiers.evaluation.<A HREF="weka/classifiers/evaluation/NominalPrediction.html"><B>NominalPrediction</B></A> (implements weka.classifiers.evaluation.<A HREF="weka/classifiers/evaluation/Prediction.html">Prediction</A>, java.io.Serializable)
<LI TYPE="circle">class weka.estimators.<A HREF="weka/estimators/NormalEstimator.html"><B>NormalEstimator</B></A> (implements weka.estimators.<A HREF="weka/estimators/Estimator.html">Estimator</A>)
<LI TYPE="circle">class weka.classifiers.evaluation.<A HREF="weka/classifiers/evaluation/NumericPrediction.html"><B>NumericPrediction</B></A> (implements weka.classifiers.evaluation.<A HREF="weka/classifiers/evaluation/Prediction.html">Prediction</A>, java.io.Serializable)
<LI TYPE="circle">class weka.core.<A HREF="weka/core/Option.html"><B>Option</B></A><LI TYPE="circle">class weka.classifiers.m5.<A HREF="weka/classifiers/m5/Options.html"><B>Options</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/OutputZipper.html"><B>OutputZipper</B></A><LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/PairedStats.html"><B>PairedStats</B></A><LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/PairedTTester.html"><B>PairedTTester</B></A> (implements weka.core.<A HREF="weka/core/OptionHandler.html">OptionHandler</A>)
<LI TYPE="circle">class weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/PlaceNode1.html"><B>PlaceNode1</B></A> (implements weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/NodePlace.html">NodePlace</A>)
<LI TYPE="circle">class weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/PlaceNode2.html"><B>PlaceNode2</B></A> (implements weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/NodePlace.html">NodePlace</A>)
<LI TYPE="circle">class weka.gui.visualize.<A HREF="weka/gui/visualize/PlotData2D.html"><B>PlotData2D</B></A><LI TYPE="circle">class weka.estimators.<A HREF="weka/estimators/PoissonEstimator.html"><B>PoissonEstimator</B></A> (implements weka.estimators.<A HREF="weka/estimators/Estimator.html">Estimator</A>)
<LI TYPE="circle">class weka.classifiers.adtree.<A HREF="weka/classifiers/adtree/PredictionNode.html"><B>PredictionNode</B></A> (implements java.lang.Cloneable, java.io.Serializable)
<LI TYPE="circle">class java.beans.PropertyEditorSupport (implements java.beans.PropertyEditor)
<UL>
<LI TYPE="circle">class weka.gui.<A HREF="weka/gui/FileEditor.html"><B>FileEditor</B></A><LI TYPE="circle">class weka.gui.<A HREF="weka/gui/SelectedTagEditor.html"><B>SelectedTagEditor</B></A></UL>
<LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/PropertyNode.html"><B>PropertyNode</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.core.<A HREF="weka/core/Queue.html"><B>Queue</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.core.<A HREF="weka/core/Queue.QueueNode.html"><B>Queue.QueueNode</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/RandomSplitResultProducer.html"><B>RandomSplitResultProducer</B></A> (implements weka.core.<A HREF="weka/core/AdditionalMeasureProducer.html">AdditionalMeasureProducer</A>, weka.core.<A HREF="weka/core/OptionHandler.html">OptionHandler</A>, weka.experiment.<A HREF="weka/experiment/ResultProducer.html">ResultProducer</A>)
<LI TYPE="circle">class weka.core.<A HREF="weka/core/Range.html"><B>Range</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/RegressionSplitEvaluator.html"><B>RegressionSplitEvaluator</B></A> (implements weka.core.<A HREF="weka/core/AdditionalMeasureProducer.html">AdditionalMeasureProducer</A>, weka.core.<A HREF="weka/core/OptionHandler.html">OptionHandler</A>, weka.experiment.<A HREF="weka/experiment/SplitEvaluator.html">SplitEvaluator</A>)
<LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/RemoteExperimentEvent.html"><B>RemoteExperimentEvent</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/RemoteExperimentSubTask.html"><B>RemoteExperimentSubTask</B></A> (implements weka.experiment.<A HREF="weka/experiment/Task.html">Task</A>)
<LI TYPE="circle">class java.rmi.server.RemoteObject (implements java.rmi.Remote, java.io.Serializable)
<UL>
<LI TYPE="circle">class java.rmi.server.RemoteServer<UL>
<LI TYPE="circle">class java.rmi.server.UnicastRemoteObject<UL>
<LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/RemoteEngine.html"><B>RemoteEngine</B></A> (implements weka.experiment.<A HREF="weka/experiment/Compute.html">Compute</A>)
</UL>
</UL>
</UL>
<LI TYPE="circle">class weka.gui.<A HREF="weka/gui/SaveBuffer.html"><B>SaveBuffer</B></A><LI TYPE="circle">class weka.core.<A HREF="weka/core/SelectedTag.html"><B>SelectedTag</B></A><LI TYPE="circle">class weka.core.<A HREF="weka/core/SerializedObject.html"><B>SerializedObject</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.classifiers.neural.<A HREF="weka/classifiers/neural/SigmoidUnit.html"><B>SigmoidUnit</B></A> (implements weka.classifiers.neural.<A HREF="weka/classifiers/neural/NeuralMethod.html">NeuralMethod</A>)
<LI TYPE="circle">class weka.core.<A HREF="weka/core/SpecialFunctions.html"><B>SpecialFunctions</B></A><LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/SplitCriterion.html"><B>SplitCriterion</B></A> (implements java.io.Serializable)
<UL>
<LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/EntropyBasedSplitCrit.html"><B>EntropyBasedSplitCrit</B></A><UL>
<LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/EntropySplitCrit.html"><B>EntropySplitCrit</B></A><LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/GainRatioSplitCrit.html"><B>GainRatioSplitCrit</B></A><LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/InfoGainSplitCrit.html"><B>InfoGainSplitCrit</B></A></UL>
</UL>
<LI TYPE="circle">class weka.classifiers.m5.<A HREF="weka/classifiers/m5/SplitInfo.html"><B>SplitInfo</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.classifiers.adtree.<A HREF="weka/classifiers/adtree/Splitter.html"><B>Splitter</B></A> (implements java.lang.Cloneable, java.io.Serializable)
<UL>
<LI TYPE="circle">class weka.classifiers.adtree.<A HREF="weka/classifiers/adtree/TwoWayNominalSplit.html"><B>TwoWayNominalSplit</B></A><LI TYPE="circle">class weka.classifiers.adtree.<A HREF="weka/classifiers/adtree/TwoWayNumericSplit.html"><B>TwoWayNumericSplit</B></A></UL>
<LI TYPE="circle">class weka.core.<A HREF="weka/core/Statistics.html"><B>Statistics</B></A><LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/Stats.html"><B>Stats</B></A><LI TYPE="circle">class weka.classifiers.j48.<A HREF="weka/classifiers/j48/Stats.html"><B>Stats</B></A><LI TYPE="circle">class weka.gui.<A HREF="weka/gui/SysErrLog.html"><B>SysErrLog</B></A> (implements weka.gui.<A HREF="weka/gui/Logger.html">Logger</A>)
<LI TYPE="circle">class weka.core.<A HREF="weka/core/Tag.html"><B>Tag</B></A><LI TYPE="circle">class weka.experiment.<A HREF="weka/experiment/TaskStatusInfo.html"><B>TaskStatusInfo</B></A> (implements java.io.Serializable)
<LI TYPE="circle">class weka.classifiers.evaluation.<A HREF="weka/classifiers/evaluation/ThresholdCurve.html"><B>ThresholdCurve</B></A><LI TYPE="circle">class java.lang.Throwable (implements java.io.Serializable)
<UL>
<LI TYPE="circle">class java.lang.Exception<UL>
<LI TYPE="circle">class java.lang.RuntimeException<UL>
<LI TYPE="circle">class weka.core.<A HREF="weka/core/UnassignedClassException.html"><B>UnassignedClassException</B></A><LI TYPE="circle">class weka.core.<A HREF="weka/core/UnassignedDatasetException.html"><B>UnassignedDatasetException</B></A></UL>
<LI TYPE="circle">class weka.core.<A HREF="weka/core/WekaException.html"><B>WekaException</B></A><UL>
<LI TYPE="circle">class weka.core.<A HREF="weka/core/UnsupportedAttributeTypeException.html"><B>UnsupportedAttributeTypeException</B></A><LI TYPE="circle">class weka.core.<A HREF="weka/core/UnsupportedClassTypeException.html"><B>UnsupportedClassTypeException</B></A></UL>
</UL>
</UL>
<LI TYPE="circle">class weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/TreeBuild.html"><B>TreeBuild</B></A><LI TYPE="circle">class weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/TreeDisplayEvent.html"><B>TreeDisplayEvent</B></A><LI TYPE="circle">class weka.classifiers.evaluation.<A HREF="weka/classifiers/evaluation/TwoClassStats.html"><B>TwoClassStats</B></A><LI TYPE="circle">class weka.core.<A HREF="weka/core/Utils.html"><B>Utils</B></A><LI TYPE="circle">class weka.classifiers.m5.<A HREF="weka/classifiers/m5/Values.html"><B>Values</B></A><LI TYPE="circle">class weka.gui.visualize.<A HREF="weka/gui/visualize/VisualizePanelEvent.html"><B>VisualizePanelEvent</B></A><LI TYPE="circle">class weka.gui.visualize.<A HREF="weka/gui/visualize/VisualizeUtils.html"><B>VisualizeUtils</B></A></UL>
</UL>
<H2>
Interface Hierarchy
</H2>
<UL>
<LI TYPE="circle">interface weka.core.<A HREF="weka/core/AdditionalMeasureProducer.html"><B>AdditionalMeasureProducer</B></A><LI TYPE="circle">interface weka.gui.visualize.<A HREF="weka/gui/visualize/AttributePanelListener.html"><B>AttributePanelListener</B></A><LI TYPE="circle">interface weka.attributeSelection.<A HREF="weka/attributeSelection/AttributeTransformer.html"><B>AttributeTransformer</B></A><LI TYPE="circle">interface weka.estimators.<A HREF="weka/estimators/ConditionalEstimator.html"><B>ConditionalEstimator</B></A><LI TYPE="circle">interface weka.core.<A HREF="weka/core/Copyable.html"><B>Copyable</B></A><LI TYPE="circle">interface weka.core.<A HREF="weka/core/Drawable.html"><B>Drawable</B></A><LI TYPE="circle">interface weka.attributeSelection.<A HREF="weka/attributeSelection/ErrorBasedMeritEvaluator.html"><B>ErrorBasedMeritEvaluator</B></A><LI TYPE="circle">interface java.util.EventListener<UL>
<LI TYPE="circle">interface weka.gui.streams.<A HREF="weka/gui/streams/InstanceListener.html"><B>InstanceListener</B></A><LI TYPE="circle">interface weka.gui.streams.<A HREF="weka/gui/streams/SerialInstanceListener.html"><B>SerialInstanceListener</B></A></UL>
<LI TYPE="circle">interface weka.gui.streams.<A HREF="weka/gui/streams/InstanceProducer.html"><B>InstanceProducer</B></A><LI TYPE="circle">interface weka.classifiers.<A HREF="weka/classifiers/IterativeClassifier.html"><B>IterativeClassifier</B></A><LI TYPE="circle">interface weka.classifiers.kstar.<A HREF="weka/classifiers/kstar/KStarConstants.html"><B>KStarConstants</B></A><LI TYPE="circle">interface weka.gui.<A HREF="weka/gui/Logger.html"><B>Logger</B></A><LI TYPE="circle">interface weka.core.<A HREF="weka/core/Matchable.html"><B>Matchable</B></A><LI TYPE="circle">interface weka.gui.treevisualizer.<A HREF="weka/gui/treevisualizer/NodePlace.html"><B>NodePlace</B></A><LI TYPE="circle">interface weka.core.<A HREF="weka/core/OptionHandler.html"><B>OptionHandler</B></A><LI TYPE="circle">interface weka.gui.visualize.<A HREF="weka/gui/visualize/Plot2DCompanion.html"><B>Plot2DCompanion</B></A><LI TYPE="circle">interface weka.classifiers.evaluation.<A HREF="weka/classifiers/evaluation/Prediction.html"><B>Prediction</B></A><LI TYPE="circle">interface weka.attributeSelection.<A HREF="weka/attributeSelection/RankedOutputSearch.html"><B>RankedOutputSearch</B></A><LI TYPE="circle">interface java.rmi.Remote<UL>
<LI TYPE="circle">interface weka.experiment.<A HREF="weka/experiment/Compute.html"><B>Compute</B></A></UL>
<LI TYPE="circle">interface weka.experiment.<A HREF="weka/experiment/RemoteExperimentListener.html"><B>RemoteExperimentListener</B></A><LI TYPE="circle">interface java.io.Serializable<UL>
<LI TYPE="circle">interface weka.estimators.<A HREF="weka/estimators/Estimator.html"><B>Estimator</B></A><LI TYPE="circle">interface weka.core.converters.<A HREF="weka/core/converters/Loader.html"><B>Loader</B></A><LI TYPE="circle">interface weka.classifiers.neural.<A HREF="weka/classifiers