Example usage for weka.associations Apriori getAllTheRules

Introduction

In this page you can find the example usage for weka.associations Apriori getAllTheRules.

Prototype

public ArrayList<Object>[] getAllTheRules() 

Source Link

Document

returns all the rules

Usage

From source file:ap.mavenproject1.HelloWeka.java

public static void main(String args[]) {
    Instances data = null;/*from  w  w  w.  j a  v  a  2s  .c om*/
    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);
    }

}

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From source file:demo.bean.WekaDABeanImpl.java

License:Open Source License

@Override
public Map<Integer, ResultItem> generateResults() {
    Map<Integer, ResultItem> myResults = new HashMap<Integer, ResultItem>();

    try {/*from   w w w . j ava 2s  . c o m*/
        InputStream input = getClass().getResourceAsStream("/arff/weather.nominal.arff");
        DataSource source = new DataSource(input);
        Instances data = source.getDataSet();

        Apriori apriori = new Apriori();
        apriori.buildAssociations(data);

        FastVector res[] = apriori.getAllTheRules();
        int x = 0;
        for (FastVector rule : res) {
            if (rule == null)
                continue;

            for (int i = 0; i < rule.size(); ++i) {
                Object o = rule.elementAt(i);

                if (o instanceof AprioriItemSet) {
                    AprioriItemSet itemSet = (AprioriItemSet) o;

                    System.out.println(itemSet.toString(data) + " " + itemSet.items().length);

                    String ruleStr = itemSet.toString(data) + " ";
                    myResults.put((x + 1), new ResultItem((x + 1), ruleStr));
                    if (x >= 10)
                        break;
                    x++;
                }
            }

        }
    } catch (Exception ex) {
        ex.printStackTrace();
    }
    return myResults;
}

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From source file:EsperTest.CEPListener.java

public void update(EventBean[] newData, EventBean[] oldData) {

    System.out.println("Event received: " + newData[0].getUnderlying());
    if (newData.length > 2) {
        //create the column name and type, these are strings
        //http://weka.wikispaces.com/Creating+an+ARFF+file
        Instances data;/*from  w ww.  ja va2  s.  c om*/
        FastVector atts = new FastVector();

        for (int j = 0; j < columnNumbers.length; j++) {
            FastVector values = new FastVector();
            for (int i = 0; i < labels.NominalCount(j); i++) {
                values.addElement(labels.GetLabel(columnNumbers[j], i));
            }
            atts.addElement(new Attribute(labels.GetHeader(columnNumbers[j]), values));
        }

        data = new Instances("Title", atts, 0);

        for (int i = 0; i < newData.length; i++) {
            Instance inst = new Instance(columnNumbers.length);
            for (int j = 0; j < columnNumbers.length; j++) {
                inst.setValue(j, newData[i].get("eventType").toString());
            }
            data.add(inst);
        }

        Apriori aprioriObj = new weka.associations.Apriori();

        try {
            aprioriObj.buildAssociations(data);
        } catch (Exception e) {
            System.out.println(e);
        }

        FastVector rules[] = aprioriObj.getAllTheRules();

    }

}

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