ca.pfv.spmf.algorithms.sequential_rules.rulegrowth

Class AlgoERMiner

java.lang.Object

ca.pfv.spmf.algorithms.sequential_rules.rulegrowth.AlgoERMiner

public class AlgoERMiner
extends java.lang.Object

This is the original implementation of the ERMiner algorithm for mining sequential rules common to several sequences where antecedent and consequent are unordered itemsets.

The main method of this algorithm is "runAlgorithm". It output the result to a file.

See Also:

Occurence, Sequence, SequenceDatabase

Constructor Summary

Constructors

Constructor and Description
AlgoERMiner() Default constructor

Method Summary

Modifier and Type	Method and Description
int[]	concatenate(int[] itemset, int item)
void	printStats() Print statistics about the last algorithm execution to System.out.
void	runAlgorithm(double minSupport, double minConfidence, java.lang.String input, java.lang.String output) The main method to run the algorithm
void	runAlgorithm(java.lang.String input, java.lang.String output, int relativeMinsup, double minConfidence) The main method to run the algorithm

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

AlgoERMiner

public AlgoERMiner()

Default constructor

Method Detail

runAlgorithm

public void runAlgorithm(double minSupport,
                         double minConfidence,
                         java.lang.String input,
                         java.lang.String output)
                  throws java.io.IOException

The main method to run the algorithm

Parameters:

minSupport - : the minimum support (percentage as a double value)

minConfidence - : the minimum confidence threshold

input - : an input file path of a seq uence database

output - : a file path for writing the output file containing the seq. rules.

Throws:

java.io.IOException - if error reading/writing files

runAlgorithm

public void runAlgorithm(java.lang.String input,
                         java.lang.String output,
                         int relativeMinsup,
                         double minConfidence)
                  throws java.io.IOException

The main method to run the algorithm

Parameters:

relativeMinsup - : the minimum support as an integer value (a relative minimum support)

minConfidence - : the minimum confidence threshold

input - : an input file path of a sequence database

output - : a file path for writing the output file containing the seq. rules.

Throws:

java.io.IOException - if error reading/writing files

concatenate

public int[] concatenate(int[] itemset,
                         int item)

printStats

public void printStats()

Print statistics about the last algorithm execution to System.out.