package ca.pfv.spmf.test;
import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URL;
import ca.pfv.spmf.algorithms.frequentpatterns.charm.AlgoCharm_Bitset;
import ca.pfv.spmf.input.transaction_database_list_integers.TransactionDatabase;
import ca.pfv.spmf.patterns.itemset_array_integers_with_tids_bitset.Itemsets;
/**
* Example of how to use CHARM-Bitset algorithm from the source code
* and keep the result in memory.
* @author Philippe Fournier-Viger 2014
*/
public class MainTestCharm_bitset_saveToMemory {
public static void main(String [] arg) throws IOException{
// the database
String input = fileToPath("contextPasquier99.txt");
// the minsup threshold
// Note : 0.4 means a minsup of 2 transaction (we used a relative support)
double minsup = 0.4;
// Read the input file
TransactionDatabase database = new TransactionDatabase();
try {
database.loadFile(input);
} catch (IOException e) {
e.printStackTrace();
}
// Applying the CHARM algorithm
AlgoCharm_Bitset algo = new AlgoCharm_Bitset();
Itemsets itemsets = algo.runAlgorithm(null, database, minsup, true, 10000);
// NOTE 1: if you 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.
// Print the itemsets found
itemsets.printItemsets(database.size());
// Print statistics about the algorithm execution.
algo.printStats();
}
public static String fileToPath(String filename) throws UnsupportedEncodingException{
URL url = MainTestCharm_bitset_saveToMemory.class.getResource(filename);
return java.net.URLDecoder.decode(url.getPath(),"UTF-8");
}
}