/* ----------------------------------------------------------- */ /* */ /* APRIORI-T SORTED APPLICATION */ /* */ /* Frans Coenen */ /* */ /* 12 July 2002 */ /* */ /* Department of Computer Science */ /* The University of Liverpool */ /* */ /* ----------------------------------------------------------- */ import java.io.*; public class AprioriTsortedApp { // ------------------- FIELDS ------------------------ // None // ---------------- CONSTRUCTORS --------------------- // None // ------------------ METHODS ------------------------ public static void main(String[] args) throws IOException { // Create instance of class TotalSupportTree TotalSupportTree newAprioriT = new TotalSupportTree(args); // Read data to be mined from file newAprioriT.inputDataSet(); // Reorder input data according to frequency of single attributes newAprioriT.idInputDataOrdering(); newAprioriT.recastInputData(); // Mine data and produce T-tree double time1 = (double) System.currentTimeMillis(); newAprioriT.createTotalSupportTree(); newAprioriT.outputDuration(time1,(double) System.currentTimeMillis()); // Output newAprioriT.outputNumFreqSets(); newAprioriT.outputNumUpdates(); newAprioriT.outputStorage(); newAprioriT.outputFrequentSets(); // Generate ARS newAprioriT.generateARs(); newAprioriT.getCurrentRuleListObject().outputNumRules(); newAprioriT.getCurrentRuleListObject().outputRulesWithReconversion(); // End System.exit(0); } }