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</TD> </TR></TABLE></TD><TD ALIGN="right" VALIGN="top" ROWSPAN=3><EM></EM></TD></TR><TR><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> PREV PACKAGE <A HREF="../../weka/associations/tertius/package-summary.html"><B>NEXT PACKAGE</B></A></FONT></TD><TD BGCOLOR="white" CLASS="NavBarCell2"><FONT SIZE="-2"> <A HREF="../../index.html?weka/associations/package-summary.html" target="_top"><B>FRAMES</B></A> <A HREF="package-summary.html" target="_top"><B>NO FRAMES</B></A> <SCRIPT type="text/javascript"> <!-- if(window==top) { document.writeln('<A HREF="../../allclasses-noframe.html"><B>All Classes</B></A>'); } //--></SCRIPT><NOSCRIPT> <A HREF="../../allclasses-noframe.html"><B>All Classes</B></A></NOSCRIPT></FONT></TD></TR></TABLE><A NAME="skip-navbar_top"></A><!-- ========= END OF TOP NAVBAR ========= --><HR><H2>Package weka.associations</H2><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Interface Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/CARuleMiner.html" title="interface in weka.associations">CARuleMiner</A></B></TD><TD>Interface for learning class association rules.</TD></TR></TABLE> <P><TABLE BORDER="1" WIDTH="100%" CELLPADDING="3" CELLSPACING="0" SUMMARY=""><TR BGCOLOR="#CCCCFF" CLASS="TableHeadingColor"><TH ALIGN="left" COLSPAN="2"><FONT SIZE="+2"><B>Class Summary</B></FONT></TH></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/Apriori.html" title="class in weka.associations">Apriori</A></B></TD><TD>Class implementing an Apriori-type algorithm.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/AprioriItemSet.html" title="class in weka.associations">AprioriItemSet</A></B></TD><TD>Class for storing a set of items.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/Associator.html" title="class in weka.associations">Associator</A></B></TD><TD>Abstract scheme for learning associations.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/AssociatorEvaluation.html" title="class in weka.associations">AssociatorEvaluation</A></B></TD><TD>Class for evaluating Associaters.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/CaRuleGeneration.html" title="class in weka.associations">CaRuleGeneration</A></B></TD><TD>Class implementing the rule generation procedure of the predictive apriori algorithm for class association rules.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/CheckAssociator.html" title="class in weka.associations">CheckAssociator</A></B></TD><TD>Class for examining the capabilities and finding problems with associators.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/ItemSet.html" title="class in weka.associations">ItemSet</A></B></TD><TD>Class for storing a set of items.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/LabeledItemSet.html" title="class in weka.associations">LabeledItemSet</A></B></TD><TD>Class for storing a set of items together with a class label.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/PredictiveApriori.html" title="class in weka.associations">PredictiveApriori</A></B></TD><TD>Class implementing the predictive apriori algorithm to mine association rules.<br/> It searches with an increasing support threshold for the best 'n' rules concerning a support-based corrected confidence value.<br/> <br/> For more information see:<br/> <br/> Tobias Scheffer: Finding Association Rules That Trade Support Optimally against Confidence.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/PriorEstimation.html" title="class in weka.associations">PriorEstimation</A></B></TD><TD>Class implementing the prior estimattion of the predictive apriori algorithm for mining association rules.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/RuleGeneration.html" title="class in weka.associations">RuleGeneration</A></B></TD><TD>Class implementing the rule generation procedure of the predictive apriori algorithm.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/RuleItem.html" title="class in weka.associations">RuleItem</A></B></TD><TD>Class for storing an (class) association rule.</TD></TR><TR BGCOLOR="white" CLASS="TableRowColor"><TD WIDTH="15%"><B><A HREF="../../weka/associations/Tertius.html" title="class in weka.associations">Tertius</A></B></TD><TD>Finds rules according to confirmation measure (Tertius-type algorithm).<br/> <br/> For more information see:<br/> <br/> P.</TD></TR></TABLE> <P><DL></DL><HR><!-- ======= START OF BOTTOM NAVBAR ====== --><A NAME="navbar_bottom"><!-- --></A><A HREF="#skip-navbar_bottom" title="Skip navigation links"></A><TABLE BORDER="0" WIDTH="100%" CELLPADDING="1" CELLSPACING="0" SUMMARY=""><TR><TD COLSPAN=2 BGCOLOR="#EEEEFF" CLASS="NavBarCell1"><A NAME="navbar_bottom_firstrow"><!-- --></A><TABLE BORDER="0" CELLPADDING="0" CELLSPACING="3" SUMMARY=""> <TR ALIGN="center" VALIGN="top"> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A HREF="../../overview-summary.html"><FONT CLASS="NavBarFont1"><B>Overview</B></FONT></A> </TD> <TD BGCOLOR="#FFFFFF" CLASS="NavBarCell1Rev"> <FONT CLASS="NavBarFont1Rev"><B>Package</B></FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <FONT CLASS="NavBarFont1">Class</FONT> </TD> <TD BGCOLOR="#EEEEFF" CLASS="NavBarCell1"> <A 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