ap.mavenproject1.HelloWeka.java Source code

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Here is the source code for ap.mavenproject1.HelloWeka.java

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/*
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package ap.mavenproject1;

import java.io.BufferedWriter;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.util.logging.Level;
import java.util.logging.Logger;
import weka.associations.Apriori;
import weka.core.FastVector;
import weka.core.Instance;
import weka.core.Instances;
import weka.core.converters.ArffLoader;
import weka.filters.Filter;
import weka.filters.unsupervised.attribute.NumericToNominal;

/**
 *
 * @author USER
 */
public class HelloWeka {

    public static void main(String args[]) {
        Instances data = null;
        ArffLoader loader = new ArffLoader();
        try {

            loader.setFile(new File("C:\\Users\\USER\\Desktop\\data.arff"));

            data = loader.getDataSet();
            data.setClassIndex(data.numAttributes() - 1);

        } catch (IOException ex) {
            Logger.getLogger(HelloWeka.class.getName()).log(Level.SEVERE, null, ex);
        }

        Apriori apriori = new Apriori();
        try {
            NumericToNominal numericToNominal = new NumericToNominal();
            numericToNominal.setInputFormat(data);

            Instances nominalData = Filter.useFilter(data, numericToNominal);
            apriori.buildAssociations(nominalData);
            FastVector[] allTheRules;
            allTheRules = apriori.getAllTheRules();
            for (int i = 0; i < allTheRules.length; i++) {
                System.out.println(allTheRules[i]);
            }
            //             BufferedWriter writer = new BufferedWriter(new FileWriter("./output.arff"));
            //                writer.write(nominalData.toString());
            //                writer.flush();
            //                writer.close();

        } catch (Exception ex) {
            Logger.getLogger(HelloWeka.class.getName()).log(Level.SEVERE, null, ex);
        }

    }

}