/*
* 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;
}
}