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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

<A NAME="next(int)"><!-- --></A><H3>
next</H3>
<PRE>
public void <B>next</B>(int&nbsp;iteration)
          throws java.lang.Exception</PRE>
<DL>
<DD>Performs one iteration.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/classifiers/IterativeClassifier.html#next(int)">next</A></CODE> in interface <CODE><A HREF="../../../weka/classifiers/IterativeClassifier.html">IterativeClassifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>iteration</CODE> - the index of the current iteration (0-based)<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if this iteration fails</DL>
</DD>
</DL>
<HR>

<A NAME="boost()"><!-- --></A><H3>
boost</H3>
<PRE>
public void <B>boost</B>()
           throws java.lang.Exception</PRE>
<DL>
<DD>Performs a single boosting iteration, using two-class optimized method.
 Will add a new splitter node and two prediction nodes to the tree
 (unless merging takes place).<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if try to boost without setting up tree first or there are no 
 instances to train with</DL>
</DD>
</DL>
<HR>

<A NAME="distributionForInstance(weka.core.Instance)"><!-- --></A><H3>
distributionForInstance</H3>
<PRE>
public double[] <B>distributionForInstance</B>(<A HREF="../../../weka/core/Instance.html">Instance</A>&nbsp;instance)</PRE>
<DL>
<DD>Returns the class probability distribution for an instance.<DD><DL>
<DT><B>Overrides:</B><DD><CODE><A HREF="../../../weka/classifiers/DistributionClassifier.html#distributionForInstance(weka.core.Instance)">distributionForInstance</A></CODE> in class <CODE><A HREF="../../../weka/classifiers/DistributionClassifier.html">DistributionClassifier</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>instance</CODE> - the instance to be classified<DT><B>Returns:</B><DD>the distribution the tree generates for the instance</DL>
</DD>
</DL>
<HR>

<A NAME="predictionValueForInstance(weka.core.Instance, weka.classifiers.adtree.PredictionNode, double)"><!-- --></A><H3>
predictionValueForInstance</H3>
<PRE>
protected double <B>predictionValueForInstance</B>(<A HREF="../../../weka/core/Instance.html">Instance</A>&nbsp;inst,
                                            <A HREF="../../../weka/classifiers/adtree/PredictionNode.html">PredictionNode</A>&nbsp;currentNode,
                                            double&nbsp;currentValue)</PRE>
<DL>
<DD>Returns the class prediction value (vote) for an instance.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>inst</CODE> - the instance<DD><CODE>currentNode</CODE> - the root of the tree to get the values from<DD><CODE>currentValue</CODE> - the current value before adding the value contained in the
 subtree<DT><B>Returns:</B><DD>the class prediction value (vote)</DL>
</DD>
</DL>
<HR>

<A NAME="toString()"><!-- --></A><H3>
toString</H3>
<PRE>
public java.lang.String <B>toString</B>()</PRE>
<DL>
<DD>Returns a description of the classifier.<DD><DL>
<DT><B>Overrides:</B><DD><CODE>toString</CODE> in class <CODE>java.lang.Object</CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string containing a description of the classifier</DL>
</DD>
</DL>
<HR>

<A NAME="toString(weka.classifiers.adtree.PredictionNode, int)"><!-- --></A><H3>
toString</H3>
<PRE>
protected java.lang.String <B>toString</B>(<A HREF="../../../weka/classifiers/adtree/PredictionNode.html">PredictionNode</A>&nbsp;currentNode,
                                    int&nbsp;level)</PRE>
<DL>
<DD>Traverses the tree, forming a string that describes it.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>currentNode</CODE> - the current node under investigation<DD><CODE>level</CODE> - the current level in the tree<DT><B>Returns:</B><DD>the string describing the subtree</DL>
</DD>
</DL>
<HR>

<A NAME="graph()"><!-- --></A><H3>
graph</H3>
<PRE>
public java.lang.String <B>graph</B>()
                       throws java.lang.Exception</PRE>
<DL>
<DD>Returns graph describing the tree.<DD><DL>
<DT><B>Specified by: </B><DD><CODE><A HREF="../../../weka/core/Drawable.html#graph()">graph</A></CODE> in interface <CODE><A HREF="../../../weka/core/Drawable.html">Drawable</A></CODE></DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the graph of the tree in dotty format<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="graphTraverse(weka.classifiers.adtree.PredictionNode, java.lang.StringBuffer, int, int, weka.core.Instances)"><!-- --></A><H3>
graphTraverse</H3>
<PRE>
protected void <B>graphTraverse</B>(<A HREF="../../../weka/classifiers/adtree/PredictionNode.html">PredictionNode</A>&nbsp;currentNode,
                             java.lang.StringBuffer&nbsp;text,
                             int&nbsp;splitOrder,
                             int&nbsp;predOrder,
                             <A HREF="../../../weka/core/Instances.html">Instances</A>&nbsp;instances)
                      throws java.lang.Exception</PRE>
<DL>
<DD>Traverses the tree, graphing each node.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>currentNode</CODE> - the currentNode under investigation<DD><CODE>text</CODE> - the string built so far<DD><CODE>splitOrder</CODE> - the order the parent splitter was added to the tree<DD><CODE>predOrder</CODE> - the order this predictor was added to the split<DT><B>Throws:</B><DD><CODE>java.lang.Exception</CODE> - if something goes wrong</DL>
</DD>
</DL>
<HR>

<A NAME="legend()"><!-- --></A><H3>
legend</H3>
<PRE>
public java.lang.String <B>legend</B>()</PRE>
<DL>
<DD>Returns the legend of the tree, describing how results are to be interpreted.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a string containing the legend of the classifier</DL>
</DD>
</DL>
<HR>

<A NAME="globalInfo()"><!-- --></A><H3>
globalInfo</H3>
<PRE>
public java.lang.String <B>globalInfo</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>a description of the classifier suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="numOfBoostingIterationsTipText()"><!-- --></A><H3>
numOfBoostingIterationsTipText</H3>
<PRE>
public java.lang.String <B>numOfBoostingIterationsTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getNumOfBoostingIterations()"><!-- --></A><H3>
getNumOfBoostingIterations</H3>
<PRE>
public int <B>getNumOfBoostingIterations</B>()</PRE>
<DL>
<DD>Gets the number of boosting iterations.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the number of boosting iterations</DL>
</DD>
</DL>
<HR>

<A NAME="setNumOfBoostingIterations(int)"><!-- --></A><H3>
setNumOfBoostingIterations</H3>
<PRE>
public void <B>setNumOfBoostingIterations</B>(int&nbsp;b)</PRE>
<DL>
<DD>Sets the number of boosting iterations.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>b</CODE> - the number of boosting iterations to use</DL>
</DD>
</DL>
<HR>

<A NAME="searchPathTipText()"><!-- --></A><H3>
searchPathTipText</H3>
<PRE>
public java.lang.String <B>searchPathTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getSearchPath()"><!-- --></A><H3>
getSearchPath</H3>
<PRE>
public <A HREF="../../../weka/core/SelectedTag.html">SelectedTag</A> <B>getSearchPath</B>()</PRE>
<DL>
<DD>Gets the method of searching the tree for a new insertion. Will be one of
 SEARCHPATH_ALL, SEARCHPATH_HEAVIEST, SEARCHPATH_ZPURE, SEARCHPATH_RANDOM.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the tree searching mode</DL>
</DD>
</DL>
<HR>

<A NAME="setSearchPath(weka.core.SelectedTag)"><!-- --></A><H3>
setSearchPath</H3>
<PRE>
public void <B>setSearchPath</B>(<A HREF="../../../weka/core/SelectedTag.html">SelectedTag</A>&nbsp;newMethod)</PRE>
<DL>
<DD>Sets the method of searching the tree for a new insertion. Will be one of
 SEARCHPATH_ALL, SEARCHPATH_HEAVIEST, SEARCHPATH_ZPURE, SEARCHPATH_RANDOM.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>newMethod</CODE> - the new tree searching mode</DL>
</DD>
</DL>
<HR>

<A NAME="randomSeedTipText()"><!-- --></A><H3>
randomSeedTipText</H3>
<PRE>
public java.lang.String <B>randomSeedTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getRandomSeed()"><!-- --></A><H3>
getRandomSeed</H3>
<PRE>
public int <B>getRandomSeed</B>()</PRE>
<DL>
<DD>Gets random seed for a random walk.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the random seed</DL>
</DD>
</DL>
<HR>

<A NAME="setRandomSeed(int)"><!-- --></A><H3>
setRandomSeed</H3>
<PRE>
public void <B>setRandomSeed</B>(int&nbsp;seed)</PRE>
<DL>
<DD>Sets random seed for a random walk.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Parameters:</B><DD><CODE>s</CODE> - the random seed</DL>
</DD>
</DL>
<HR>

<A NAME="saveInstanceDataTipText()"><!-- --></A><H3>
saveInstanceDataTipText</H3>
<PRE>
public java.lang.String <B>saveInstanceDataTipText</B>()</PRE>
<DL>
<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>tip text for this property suitable for
 displaying in the explorer/experimenter gui</DL>
</DD>
</DL>
<HR>

<A NAME="getSaveInstanceData()"><!-- --></A><H3>
getSaveInstanceData</H3>
<PRE>
public boolean <B>getSaveInstanceData</B>()</PRE>
<DL>
<DD>Gets whether the tree is to save instance data.<DD><DL>
</DL>
</DD>
<DD><DL>
<DT><B>Returns:</B><DD>the random seed</DL>
</DD>
</DL>
<HR>

<A NAME="setSaveInstanceData(boolean)"><!-- --></A><H3>
setSaveInstanceData</H3>
<PRE>
public void <B>setSaveInstanceData</B>(boolean&nbsp;v)</PRE>
<DL>
<DD>Sets whether the tree is to save instance data.<DD><DL>
</DL>
</DD>
<DD><DL>