package ca.pfv.spmf.test;
import java.io.FileNotFoundException;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URL;
import java.util.List;
import ca.pfv.spmf.algorithms.frequentpatterns.charm.AlgoCharmMFI;
import ca.pfv.spmf.algorithms.frequentpatterns.charm.AlgoCharm_Bitset;
import ca.pfv.spmf.algorithms.frequentpatterns.fpgrowth.AlgoFPMax;
import ca.pfv.spmf.input.transaction_database_list_integers.TransactionDatabase;
import ca.pfv.spmf.patterns.itemset_array_integers_with_count.Itemsets;
import ca.pfv.spmf.patterns.itemset_array_integers_with_tids_bitset.Itemset;
/**
* Example of how to use FPMax from the source code.
* @author Philippe Fournier-Viger (Copyright 2008)
*/
public class MainTestFPMax_saveToMemory {
public static void main(String [] arg) throws FileNotFoundException, IOException{
// Loading the transaction database
String input = fileToPath("contextPasquier99.txt"); // the database
// the minimum support threshold
double minsup = 0.4; // means a minsup of 2 transaction (we used a relative support)
// Applying the FPMax algorithm
AlgoFPMax algo = new AlgoFPMax();
// Run the algorithm
// Note that here we use "null" as output file path because we want to keep the results into memory instead of saving to a file
Itemsets patterns = algo.runAlgorithm(input, null, minsup);
// Show the MFI-Tree for debugging!
// System.out.println(algo.mfiTree);
// show the execution time and other statistics
algo.printStats();
// print the patterns to System.out
patterns.printItemsets(algo.getDatabaseSize());
// System.out.println("$$$$$$$$$$$");
// //===============================================================
// THE FOLLOWING CODE IS FOR DEBUGGING. IT IS FOR ALSO RUNNING CHARM-MFI
// SO THAT THE OUTPUT CAN BE COMPARED WITH FPMax
// //===============================================================
// // Loading the binary context
// TransactionDatabase database = new TransactionDatabase();
// database.loadFile(input);
//
// // Applying the Charm algorithm
// AlgoCharm_Bitset algo3 = new AlgoCharm_Bitset();
// algo3.runAlgorithm(null, database, minsup, true,100000 );
// // if you change use "true" in the line above, CHARM will use
// // a triangular matrix for counting support of itemsets of size 2.
// // For some datasets it should make the algorithm faster.
//
// // Run CHARM MFI
// AlgoCharmMFI algo2 = new AlgoCharmMFI();
// algo2.runAlgorithm(null, algo3.getClosedItemsets());
//
// // Code to browse the itemsets in memory
// System.out.println(" ===== MAXIMAL ITEMSETS FOUND ====");
// ca.pfv.spmf.patterns.itemset_array_integers_with_tids_bitset.Itemsets itemsets = algo2.getItemsets();
// for(List<Itemset> level : itemsets.getLevels()) {
// for(Itemset itemset : level) {
// for(Integer item : itemset.itemset) {
// System.out.print(item + " ");
// }
// System.out.println( " support " + itemset.getAbsoluteSupport());
// }
// }
//
// // Print statistics about the algorithm execution
// algo2.printStats(database.size());
}
public static String fileToPath(String filename) throws UnsupportedEncodingException{
URL url = MainTestFPMax_saveToMemory.class.getResource(filename);
return java.net.URLDecoder.decode(url.getPath(),"UTF-8");
}
}