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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
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0 Frameset//EN""http://www.w3.org/TR/REC-html40/frameset.dtd"><!--NewPage--><HTML><HEAD><!-- Generated by javadoc on Wed Sep 04 10:31:48 CDT 2002 --><TITLE>: Package weka.classifiers.j48</TITLE><LINK REL ="stylesheet" TYPE="text/css" HREF="../../../stylesheet.css" TITLE="Style"></HEAD><BODY BGCOLOR="white"><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_top"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0"><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_top_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3">  <TR ALIGN="center" VALIGN="top">  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> &nbsp;<FONT CLASS="NavBarFont1Rev"><B>Package</B></FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <FONT CLASS="NavBarFont1">Class</FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../deprecated-list.html"><FONT CLASS="NavBarFont1"><B>Deprecated</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../index-all.html"><FONT CLASS="NavBarFont1"><B>Index</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../help-doc.html"><FONT CLASS="NavBarFont1"><B>Help</B></FONT></A>&nbsp;</TD>  </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">&nbsp;<A HREF="../../../weka/classifiers/evaluation/package-summary.html"><B>PREV PACKAGE</B></A>&nbsp;&nbsp;<A HREF="../../../weka/classifiers/kstar/package-summary.html"><B>NEXT PACKAGE</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2">  <A HREF="../../../index.html" TARGET="_top"><B>FRAMES</B></A>  &nbsp;&nbsp;<A HREF="package-summary.html" TARGET="_top"><B>NO FRAMES</B></A></FONT></TD></TR></TABLE><!-- =========== END OF NAVBAR =========== --><HR><H2>Package weka.classifiers.j48</H2><TABLE BORDER="1" CELLPADDING="3" CELLSPACING="0" WIDTH="100%"><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TD COLSPAN=2><FONT SIZE="+2"><B>Class Summary</B></FONT></TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="BinC45ModelSelection.html">BinC45ModelSelection</A></B></TD><TD>Class for selecting a C4.5-like binary (!) split for a given dataset.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="BinC45Split.html">BinC45Split</A></B></TD><TD>Class implementing a binary C4.5-like split on an attribute.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="C45ModelSelection.html">C45ModelSelection</A></B></TD><TD>Class for selecting a C4.5-type split for a given dataset.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="C45PruneableClassifierTree.html">C45PruneableClassifierTree</A></B></TD><TD>Class for handling a tree structure that can be pruned using C4.5 procedures.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="C45PruneableDecList.html">C45PruneableDecList</A></B></TD><TD>Class for handling a partial tree structure pruned using C4.5's pruning heuristic.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="C45Split.html">C45Split</A></B></TD><TD>Class implementing a C4.5-type split on an attribute.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ClassifierDecList.html">ClassifierDecList</A></B></TD><TD>Class for handling a rule (partial tree) for a decision list.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ClassifierSplitModel.html">ClassifierSplitModel</A></B></TD><TD>Abstract class for classification models that can be used  recursively to split the data.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ClassifierTree.html">ClassifierTree</A></B></TD><TD>Class for handling a tree structure used for classification.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="Distribution.html">Distribution</A></B></TD><TD>Class for handling a distribution of class values.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="EntropyBasedSplitCrit.html">EntropyBasedSplitCrit</A></B></TD><TD>"Abstract" class for computing splitting criteria based on the entropy of a class distribution.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="EntropySplitCrit.html">EntropySplitCrit</A></B></TD><TD>Class for computing the entropy for a given distribution.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="GainRatioSplitCrit.html">GainRatioSplitCrit</A></B></TD><TD>Class for computing the gain ratio for a given distribution.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="InfoGainSplitCrit.html">InfoGainSplitCrit</A></B></TD><TD>Class for computing the information gain for a given distribution.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="J48.html">J48</A></B></TD><TD>Class for generating an unpruned or a pruned C4.5 decision tree.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="MakeDecList.html">MakeDecList</A></B></TD><TD>Class for handling a decision list.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="ModelSelection.html">ModelSelection</A></B></TD><TD>Abstract class for model selection criteria.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="NoSplit.html">NoSplit</A></B></TD><TD>Class implementing a "no-split"-split.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="PART.html">PART</A></B></TD><TD>Class for generating a PART decision list.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="PruneableClassifierTree.html">PruneableClassifierTree</A></B></TD><TD>Class for handling a tree structure that can be pruned using a pruning set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="PruneableDecList.html">PruneableDecList</A></B></TD><TD>Class for handling a partial tree structure that can be pruned using a pruning set.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="SplitCriterion.html">SplitCriterion</A></B></TD><TD>Abstract class for computing splitting criteria with respect to distributions of class values.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="Stats.html">Stats</A></B></TD><TD>Class implementing a statistical routine needed by J48.</TD></TR></TABLE>&nbsp;<P><HR><!-- ========== START OF NAVBAR ========== --><A NAME="navbar_bottom"><!-- --></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0"><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3">  <TR ALIGN="center" VALIGN="top">  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="../../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> &nbsp;<FONT CLASS="NavBarFont1Rev"><B>Package</B></FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <FONT CLASS="NavBarFont1">Class</FONT>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">    <A HREF="package-tree.html"><FONT CLASS="NavBarFont1"><B>Tree</B></FONT></A>&nbsp;</TD>  <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1">  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