Example usage for weka.associations FPGrowth FPGrowth

Introduction

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

Prototype

public FPGrowth() 

Source Link

Document

Construct a new FPGrowth object.

Usage

From source file:com.starm.processors.miners.FPGrowthBasedARMiner.java

License:Open Source License

/**
 * For instantiating FPGrowthBasedARMiner using minimum support and minimum confidence values
 * /*from  ww w. j  av  a 2 s.c o  m*/
 * @param minimumSupport minimum support value
 * @param minimumConfidence minimum confidence value
 * @param datasetFilePath folder path for dataset file 
 * @param datasetFileNameAndExtenstion file name and extension of dataset file
 * @param outputRulesFilePath folder path for output association rules file
 * @param outputRulesFileNameAndExtension output association rules file name and extension 
 */
public FPGrowthBasedARMiner(float minimumSupport, float minimumConfidence, String datasetFilePath,
        String datasetFileNameAndExtenstion, String outputRulesFilePath,
        String outputRulesFileNameAndExtension) {

    this.minimumSupport = minimumSupport;
    this.minimumConfidence = minimumConfidence;

    arMiner = new FPGrowth();
    arMiner.setDelta(0.005f);
    arMiner.setFindAllRulesForSupportLevel(true);
    arMiner.setLowerBoundMinSupport(minimumSupport);
    arMiner.setUpperBoundMinSupport(1.0f);
    arMiner.setMetricType(new SelectedTag(0, FPGrowth.AssociationRule.TAGS_SELECTION));
    arMiner.setMinMetric(minimumConfidence);

    this.datasetFilePath = datasetFilePath;
    this.datasetFileNameAndExtenstion = datasetFileNameAndExtenstion;

    this.outputRulesFilePath = outputRulesFilePath;
    this.outputRulesFileNameAndExtension = outputRulesFileNameAndExtension;
}

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From source file:fiit.gpminerstatic.Main.java

public static void main(String args[]) {
    ArrayList<Attribute> attributes = new ArrayList<Attribute>();
    for (int i = 0; i < 1000; i++) {
        attributes.add(new Attribute(String.valueOf(i)));
    }//from   w  w w .j  a v  a2  s.  c  o  m
    // load data from file into instances 
    SessionsFileStream stream = new SessionsFileStream(
            "g:\\workspace_GPMiner\\data\\alef_sessions_aggregated.csv");
    Instances instances = new Instances("Instances", attributes, 1000);
    Enumeration<Instance> enumer = instances.enumerateInstances();
    while (enumer.hasMoreElements()) {
        instances.add(enumer.nextElement());
    }
    try {
        // make global patterns with fpgrowth alghoritm 
        FPGrowth fp = new FPGrowth();
        fp.buildAssociations(instances);
        AssociationRules assocRules = fp.getAssociationRules();
    } catch (Exception ex) {
        Logger.getLogger(Main.class.getName()).log(Level.SEVERE, null, ex);
    }

}

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From source file:rdfsystem.data.DataMining.java

public static String assoiate(RdfManager manager) throws Exception {
    Instances ins = transformData(manager, false);

    FPGrowth ass = new FPGrowth();
    String[] options = "-T 0 -C 0.5 -M 0.1".split(" ");
    ass.setOptions(options);//from   w  w  w .j  a  v  a 2 s .  c o  m
    ass.buildAssociations(ins);
    List<AssociationRule> res = ass.getAssociationRules();
    for (AssociationRule rule : res)
        System.out.println(rule);

    return null;
}

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