/*
* 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.examples;
import java.io.IOException;
import java.text.ParseException;
import java.util.Arrays;
import java.util.Iterator;
import org.deidentifier.arx.ARXAnonymizer;
import org.deidentifier.arx.ARXConfiguration;
import org.deidentifier.arx.ARXLogisticRegressionConfiguration;
import org.deidentifier.arx.ARXResult;
import org.deidentifier.arx.AttributeType.Hierarchy;
import org.deidentifier.arx.AttributeType.Hierarchy.DefaultHierarchy;
import org.deidentifier.arx.Data;
import org.deidentifier.arx.Data.DefaultData;
import org.deidentifier.arx.criteria.KAnonymity;
/**
* This class implements an example on how to compare data mining performance
*
* @author Fabian Prasser
* @author Florian Kohlmayer
*/
public class Example40 extends Example {
/**
* Entry point.
*
* @param args
* the arguments
* @throws IOException
* @throws ParseException
*/
public static void main(String[] args) throws IOException, ParseException {
String[] features = new String[] {
"gender", "zipcode"
};
String clazz = "age";
// Define data
DefaultData data = Data.create();
data.add("age", "gender", "zipcode");
data.add("34", "male", "81667");
data.add("45", "female", "81675");
data.add("66", "male", "81925");
data.add("70", "female", "81931");
data.add("34", "female", "81931");
data.add("70", "male", "81931");
data.add("45", "male", "81931");
// Define hierarchies
DefaultHierarchy age = Hierarchy.create();
age.add("34", "<50", "*");
age.add("45", "<50", "*");
age.add("66", ">=50", "*");
age.add("70", ">=50", "*");
DefaultHierarchy gender = Hierarchy.create();
gender.add("male", "*");
gender.add("female", "*");
// Only excerpts for readability
DefaultHierarchy zipcode = Hierarchy.create();
zipcode.add("81667", "8166*", "816**", "81***", "8****", "*****");
zipcode.add("81675", "8167*", "816**", "81***", "8****", "*****");
zipcode.add("81925", "8192*", "819**", "81***", "8****", "*****");
zipcode.add("81931", "8193*", "819**", "81***", "8****", "*****");
data.getDefinition().setAttributeType("age", age);
data.getDefinition().setAttributeType("gender", gender);
data.getDefinition().setAttributeType("zipcode", zipcode);
System.out.println("Input dataset");
Iterator<String[]> input = data.getHandle().iterator();
while (input.hasNext()) {
System.out.print(" ");
System.out.println(Arrays.toString(input.next()));
}
System.out.println(data.getHandle().getStatistics().getClassificationPerformance(features, clazz, ARXLogisticRegressionConfiguration.create()));
// Create an instance of the anonymizer
ARXAnonymizer anonymizer = new ARXAnonymizer();
ARXConfiguration config = ARXConfiguration.create();
config.addPrivacyModel(new KAnonymity(3));
ARXResult result = anonymizer.anonymize(data, config);
System.out.println("3-anonymous dataset");
Iterator<String[]> transformed = result.getOutput().iterator();
while (transformed.hasNext()) {
System.out.print(" ");
System.out.println(Arrays.toString(transformed.next()));
}
System.out.println(result.getOutput().getStatistics().getClassificationPerformance(features, clazz, ARXLogisticRegressionConfiguration.create()));
}
}