org.iobserve.analysis.behavior.karlsruhe.AbstractClustering.java Source code

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Here is the source code for org.iobserve.analysis.behavior.karlsruhe.AbstractClustering.java

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/***************************************************************************
 * Copyright (C) 2016 iObserve Project (https://www.iobserve-devops.net)
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 ***************************************************************************/
package org.iobserve.analysis.behavior.karlsruhe;

import java.util.List;

import org.iobserve.analysis.behavior.karlsruhe.data.UserSessionAsCountsOfCalls;

import weka.core.Attribute;
import weka.core.FastVector;
import weka.core.Instance;
import weka.core.Instances;

/**
 * It creates the instances for the Weka clustering. It is abstract to be usable for different
 * clustering methods.
 *
 * @author David Peter, Robert Heinrich
 */
public abstract class AbstractClustering {

    /**
     * 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;
    }

}