package test;


import java.io.BufferedReader;
import java.io.FileReader;
import java.io.IOException;
import weka.associations.Apriori;
import weka.core.Instances;






public class AprioriTest {


/**
* @param args
*/
public static void main(String[] args) {
// TODO Auto-generated method stub
Instances data = null;
try {
BufferedReader reader = new BufferedReader( new FileReader( "TestStudenti.arff" ) );
data = new Instances(reader);
reader.close();
data.setClassIndex(data.numAttributes()-1);
}
catch ( IOException e ) {
e.printStackTrace();
}
double deltaValue = 0.05;
double lowerBoundMinSupportValue = 0.1;
double minMetricValue = 0.5;
int numRulesValue = 20;
double upperBoundMinSupportValue = 1.0;
String resultapriori;
Apriori apriori = new Apriori();
apriori.setDelta(deltaValue);
apriori.setLowerBoundMinSupport(lowerBoundMinSupportValue);
apriori.setNumRules(numRulesValue);
apriori.setUpperBoundMinSupport(upperBoundMinSupportValue);
apriori.setMinMetric(minMetricValue);
try{
apriori.buildAssociations( data );
}
catch ( Exception e ) {
e.printStackTrace();
}
resultapriori = apriori.toString();
System.out.println(resultapriori);
}
}