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package de.hsel.spm.baudas.analysis;
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import org.jetbrains.annotations.Nullable;
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import weka.associations.Apriori;
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import weka.associations.AssociationRule;
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import weka.associations.Item;
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import weka.core.Instances;
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import weka.filters.Filter;
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import weka.filters.unsupervised.attribute.NumericCleaner;
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import weka.filters.unsupervised.attribute.NumericToNominal;
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import java.io.File;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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import java.util.Map;
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public class ShoppingCart implements Analysis<Map<String, List<String>>>{
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/**
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* The shopping-cart Analysis.
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*
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* @author Julian Hinxlage
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* @version 0.1
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*/
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public class ShoppingCart implements Analysis<Map<List<String>, List<String>>> {
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@Nullable
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@Override
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public Instances load(File file) {
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return null;
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}
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private Instances instances;
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@Override
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public Map<String, List<String>> getResult() {
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Map<String, List<String>> result = new HashMap<>();
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public Map<List<String>, List<String>> getResult() {
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Map<List<String>, List<String>> result = new HashMap<>();
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Apriori model = new Apriori();
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for (int i = 0; i < 11; i++) {
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instances.deleteAttributeAt(0);
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}
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//alle artikel anzahlen auf 0 oder 1 setzen
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NumericCleaner nc = new NumericCleaner();
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nc.setMaxThreshold(1.0);
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nc.setMaxDefault(1.0);
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try {
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nc.setInputFormat(instances);
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instances = Filter.useFilter(instances, nc);
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} catch (Exception e) {
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e.printStackTrace();
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}
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//zahl werte zu nomial werten umwandeln
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NumericToNominal num2nom = new NumericToNominal();
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num2nom.setAttributeIndices("first-last");
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try {
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num2nom.setInputFormat(instances);
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instances = Filter.useFilter(instances, num2nom);
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} catch (Exception e) {
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e.printStackTrace();
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}
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model.setTreatZeroAsMissing(true);
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try {
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model.buildAssociations(instances);
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} catch (Exception e) {
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e.printStackTrace();
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}
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for(int i = 0; i < model.getAssociationRules().getRules().size();i++){
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AssociationRule rule = model.getAssociationRules().getRules().get(i);
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List<String> l1 = new ArrayList<>();
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for(Item item : rule.getPremise()){
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l1.add(item.getAttribute().name());
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}
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List<String> l2 = new ArrayList<>();
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for(Item item : rule.getConsequence()){
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l2.add(item.getAttribute().name());
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}
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result.put(l1,l2);
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}
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return result;
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}
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public ShoppingCart(File file) {
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instances = load(file);
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}
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}
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@ -0,0 +1,51 @@
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package de.hsel.spm.baudas.analysis;
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import org.junit.jupiter.api.Test;
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import java.io.File;
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import java.net.URL;
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import java.util.List;
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import java.util.Map;
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/**
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* Test class for shopping-cart analysis.
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*
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* @author Julian Hinxlage
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* @version 0.1
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*/
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class ShoppingCartTest {
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@Test
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void test100(){
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URL url = getClass().getClassLoader().getResource("kd100.csv");
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assert url != null;
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ShoppingCart cart = new ShoppingCart(new File(url.getFile()));
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Map<List<String>, List<String>> result = cart.getResult();
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System.out.println(result);
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}
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@Test
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void test1000(){
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URL url = getClass().getClassLoader().getResource("kd1000.csv");
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assert url != null;
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ShoppingCart cart = new ShoppingCart(new File(url.getFile()));
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Map<List<String>, List<String>> result = cart.getResult();
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System.out.println(result);
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}
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@Test
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void test10000(){
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URL url = getClass().getClassLoader().getResource("kd10000.csv");
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assert url != null;
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ShoppingCart cart = new ShoppingCart(new File(url.getFile()));
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Map<List<String>, List<String>> result = cart.getResult();
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System.out.println(result);
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}
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}
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