DPM-delta
Version 1.0
===========

Discriminative Pattern Mining (DPM) is an algorithm to simultaneously
miner generators and close patterns of frequent equivalence classes.
The transactions can have multiple class labels.

Usage:
	DPM-delta data_filename \
		 #classes min_sup(an obsolute number) \
		 delta(a small integer) [output_filename]


Data format is similar to FIMI workshop:

Each line represents an object with a set of attributes (integers) 
separated by space.  The first column contains class labels. 

Credits:

This program is written by LIU Guimei. The project is supported
in part by I2R-SOC Joint Lab on Knowledge Discovery and by
FRC grant "R-252-040-238-101 & R-252-060-238-133: 
Pattern Spaces: Theory, Algorithms, and Applications".

If you use this program, please cite the following paper:

Jinyan Li, Guimei Liu, Limsoon Wong. 
Mining Statistically Important Equivalence Classes.
Proceedings of 13th International Conference on Knowledge
Discovery and Data Mining,
pages ???--???, San Jose, California, 12-15 August 2007.