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The Waikato Environment for Knowledge Analysis (WEKA), a machine
learning workbench. This is the stable version. Apart from bugfixes, this version
does not receive any other updates.
/*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see .
*/
/*
* CARuleMiner.java
* Copyright (C) 2004-2012 University of Waikato, Hamilton, New Zealand
*
*/
package weka.associations;
import java.util.ArrayList;
import weka.core.Instances;
import weka.core.OptionHandler;
/**
* Interface for learning class association rules. All schemes for learning
* class association rules implemement this interface.
*
* @author Stefan Mutter ([email protected])
* @version $Revision: 10172 $
*/
public interface CARuleMiner extends OptionHandler {
/**
* Method for mining class association rules. Must initialize all fields of
* the CARuleMiner that are not being set via options (ie. multiple calls of
* mineCARs must always lead to the same result). Must not change the dataset
* in any way.
*
* @param data the insatnces for which class association rules are mined
* @throws Exception throws exception if class association rules cannot be
* mined
* @return class association rules and their scoring metric in an FastVector
* array
*/
public ArrayList