/* * ARX: Powerful Data Anonymization * Copyright 2012 - 2017 Fabian Prasser, Florian Kohlmayer and contributors * * 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.deidentifier.arx.metric.v2; import org.deidentifier.arx.ARXConfiguration; import org.deidentifier.arx.certificate.elements.ElementData; import org.deidentifier.arx.framework.check.groupify.HashGroupify; import org.deidentifier.arx.framework.lattice.Transformation; import org.deidentifier.arx.metric.MetricConfiguration; /** * This class provides an implementation of the monotonic DM* metric. * TODO: Add reference * * @author Fabian Prasser * @author Florian Kohlmayer */ public class MetricSDDiscernability extends MetricSDNMDiscernability { /** SVUID. */ private static final long serialVersionUID = -9156839234909657895L; /** * Creates a new instance. */ protected MetricSDDiscernability() { super(true, true); } /** * Returns the configuration of this metric. * * @return */ public MetricConfiguration getConfiguration() { return new MetricConfiguration(true, // monotonic 0.5d, // gs-factor false, // precomputed 0.0d, // precomputation threshold AggregateFunction.SUM // aggregate function ); } @Override public ElementData render(ARXConfiguration config) { ElementData result = new ElementData("Discernibility"); result.addProperty("Monotonic", this.isMonotonic(config.getMaxOutliers())); return result; } @Override public String toString() { return "Monotonic discernability (DM*)"; } @Override protected ILSingleDimensionalWithBound getInformationLossInternal(final Transformation node, final HashGroupify g) { ILSingleDimensional result = super.getLowerBoundInternal(node, g); return new ILSingleDimensionalWithBound(result.getValue(), result.getValue()); } }