/* * 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.risk; /** * Class for risks based on sample uniqueness * * @author Fabian Prasser */ public class RiskModelSampleUniqueness extends RiskModelSample { /** * Creates a new instance * * @param histogram */ public RiskModelSampleUniqueness(RiskModelHistogram histogram) { super(histogram); } /** * Returns the fraction of tuples affected by the highest re-identification * risk * * @return */ public double getFractionOfUniqueTuples() { return getNumUniqueTuples() / getHistogram().getNumRecords(); } /** * Returns the number of tuples affected by the lowest re-identification * risk * * @return */ public double getNumUniqueTuples() { int[] classes = getHistogram().getHistogram(); return classes[0] == 1 ? classes[1] : 0; } }