Examples with Attribute weka.core.Attribute used on opensource projects

Example 1 with Attribute

use of weka.core.Attribute in project iobserve-analysis by research-iobserve.

the class TBehaviorModelCreation method createBehaviorModel.

/**
 * create a BehaviorModel from Instance.
 *
 * @param instances
 *            instances containing the attribute names
 * @param instance
 *            instance containing the attributes
 * @return behavior model if relevant
 */
private Optional<BehaviorModel> createBehaviorModel(final Instances instances, final Instance instance) {
    final int size = instance.numAttributes();
    final BehaviorModel behaviorModel = new BehaviorModel();
    for (int i = 0; i < size; i++) {
        final Attribute attribute = instances.attribute(i);
        final String attributeName = attribute.name();
        final Double attributeValue = instance.value(attribute);
        if (this.matchEdge(attributeName)) {
            final Optional<EntryCallEdge> edge = this.createEdge(attributeName, attributeValue);
            if (edge.isPresent()) {
                behaviorModel.addEdge(edge.get());
            }
        } else if (this.matchNode(attributeName)) {
            final Optional<EntryCallNode> node = this.createNode(attributeName, attributeValue);
            if (node.isPresent()) {
                behaviorModel.addNode(node.get());
            }
        }
    }
    if (behaviorModel.getEdges().isEmpty() && behaviorModel.getNodes().isEmpty()) {
        return Optional.empty();
    }
    return Optional.of(behaviorModel);
}

Example 2 with Attribute

use of weka.core.Attribute in project iobserve-analysis by research-iobserve.

the class AbstractClustering method createInstances.

/**
 * It transforms the user sessions(userSessions in form of counts of their called operation
 * signatures) to Weka instances that can be used for the clustering.
 *
 * @param countModel
 *            contains the userSessions in form of counts of called operation signatures
 * @param listOfDistinctOperationSignatures
 *            contains the extracted distinct operation signatures of the input
 *            entryCallSequenceModel
 * @return the Weka instances that hold the data that is used for the clustering
 */
protected Instances createInstances(final List<UserSessionAsCountsOfCalls> countModel, final List<String> listOfDistinctOperationSignatures) {
    final int numberOfDistinctOperationSignatures = listOfDistinctOperationSignatures.size();
    final FastVector fvWekaAttributes = new FastVector(numberOfDistinctOperationSignatures);
    for (int i = 0; i < numberOfDistinctOperationSignatures; i++) {
        final String attributeName = "Attribute" + i;
        final Attribute attribute = new Attribute(attributeName);
        fvWekaAttributes.addElement(attribute);
    }
    final Instances clusterSet = new Instances("CallCounts", fvWekaAttributes, countModel.size());
    for (final UserSessionAsCountsOfCalls userSession : countModel) {
        int indexOfAttribute = 0;
        final Instance instance = new Instance(numberOfDistinctOperationSignatures);
        for (int row = 0; row < listOfDistinctOperationSignatures.size(); row++) {
            instance.setValue((Attribute) fvWekaAttributes.elementAt(indexOfAttribute), userSession.getAbsoluteCountOfCalls()[row]);
            indexOfAttribute++;
        }
        clusterSet.add(instance);
    }
    return clusterSet;
}

Example 3 with Attribute

use of weka.core.Attribute in project iobserve-analysis by research-iobserve.

the class BehaviorModelTable method toInstances.

/**
 * create an Instances object for clustering.
 *
 * @return instance
 */
public Instances toInstances() {
    final FastVector fastVector = new FastVector();
    // add transitions
    for (int i = 0; i < this.signatures.size(); i++) {
        for (int j = 0; j < this.signatures.size(); j++) {
            if (this.transitions[i][j] > AbstractBehaviorModelTable.TRANSITION_THRESHOLD) {
                final Attribute attribute = new Attribute(AbstractBehaviorModelTable.EDGE_INDICATOR + this.inverseSignatures[i] + AbstractBehaviorModelTable.EDGE_DIVIDER + this.inverseSignatures[j]);
                fastVector.addElement(attribute);
            } else {
                continue;
            }
        }
    }
    // add informations
    this.signatures.values().stream().forEach(pair -> Arrays.stream(pair.getSecond()).forEach(callInformation -> fastVector.addElement(new Attribute(AbstractBehaviorModelTable.INFORMATION_INDICATOR + this.inverseSignatures[pair.getFirst()] + AbstractBehaviorModelTable.INFORMATION_DIVIDER + callInformation.getSignature()))));
    // TODO name
    final Instances instances = new Instances("Test", fastVector, 0);
    final Instance instance = this.toInstance();
    instances.add(instance);
    return instances;
}

Example 4 with Attribute

use of weka.core.Attribute in project iobserve-analysis by research-iobserve.

the class BehaviorModelTable method toInstances.

/**
 * create an Instances object for clustering.
 *
 * @return instance
 */
public Instances toInstances() {
    final FastVector fastVector = new FastVector();
    // add transitions
    for (int i = 0; i < this.signatures.size(); i++) {
        for (int j = 0; j < this.signatures.size(); j++) {
            if (this.transitions[i][j] > AbstractBehaviorModelTable.TRANSITION_THRESHOLD) {
                final Attribute attribute = new Attribute(AbstractBehaviorModelTable.EDGE_INDICATOR + this.inverseSignatures[i] + AbstractBehaviorModelTable.EDGE_DIVIDER + this.inverseSignatures[j]);
                fastVector.addElement(attribute);
            } else {
                continue;
            }
        }
    }
    // add informations
    this.signatures.values().stream().forEach(pair -> Arrays.stream(pair.getSecond()).forEach(callInformation -> fastVector.addElement(new Attribute(AbstractBehaviorModelTable.INFORMATION_INDICATOR + this.inverseSignatures[pair.getFirst()] + AbstractBehaviorModelTable.INFORMATION_DIVIDER + callInformation.getSignature()))));
    // TODO name
    final Instances instances = new Instances("Test", fastVector, 0);
    final Instance instance = this.toInstance();
    instances.add(instance);
    return instances;
}

Example 5 with Attribute

use of weka.core.Attribute in project iobserve-analysis by research-iobserve.

the class BehaviorModelCreationStage method createBehaviorModel.

/**
 * create a BehaviorModel from Instance.
 *
 * @param instances
 *            instances containing the attribute names
 * @param instance
 *            instance containing the attributes
 * @return behavior model if relevant
 */
private Optional<BehaviorModel> createBehaviorModel(final Instances instances, final Instance instance) {
    final int size = instance.numAttributes();
    final BehaviorModel behaviorModel = new BehaviorModel();
    for (int i = 0; i < size; i++) {
        final Attribute attribute = instances.attribute(i);
        final String attributeName = attribute.name();
        final Double attributeValue = instance.value(attribute);
        if (this.matchEdge(attributeName)) {
            final Optional<EntryCallEdge> edge = this.createEdge(attributeName, attributeValue);
            if (edge.isPresent()) {
                behaviorModel.addEdge(edge.get(), true);
            }
        } else if (this.matchNode(attributeName)) {
            final Optional<EntryCallNode> node = this.createNode(attributeName, attributeValue);
            if (node.isPresent()) {
                behaviorModel.addNode(node.get(), true);
            }
        }
    }
    if (behaviorModel.getEdges().isEmpty() && behaviorModel.getNodes().isEmpty()) {
        return Optional.empty();
    }
    return Optional.of(behaviorModel);
}