Christian Borgelt's Web Pages

Software for Frequent Pattern Mining

If you are looking for a frequent item set mining and/or association rule induction program and you are unsure which one to choose, it is recommended to use either Eclat or FP-growth.

Name Language Description
FIMGUI Java Frequent Item Set Mining GUI and Viewer
ARuleGUI Java Association Rule Mining GUI and Viewer
Apriori C Frequent Item Set Mining (all, closed, maximal, generators)
and Association Rule Induction
Eclat C/Python Frequent Item Set Mining (all, closed, maximal, generators)
and Association Rule Induction
FPgrowth C Frequent Item Set Mining (all, closed, maximal, generators)
and Association Rule Induction
RElim C Frequent Item Set Mining (all, closed, maximal, generators, fault-tolerant)
SaM C Frequent Item Set Mining (all, closed, maximal, generators, fault-tolerant)
SODIM C Frequent Item Set Mining (fault-tolerant)
IsTa C Frequent Item Set Mining (closed and maximal)
Carpenter C Frequent Item Set Mining (closed and maximal)
PyFIM C/Python Frequent Item Set Mining for Python
JIM C Jaccard Item Set Mining / Cover Similarity
CoCoNAD C Continuous-time Closed Neuron Assembly Detection
Frequent Pattern Mining in Point Processes
PyCoCo C/Python CoCoNAD for Python
CoCoGUI C/Java Graphical User Interface for CoCoNAD + PSF + PSR
Seqwog C Frequent Sequence Mining
Sequoia C Frequent Sequence Mining
MoSS Java Molecular Substructure Miner

Copying

All programs are free software; you can redistribute them and/or modify them under the terms of the GNU General Public License or the GNU Lesser (Library) General Public License as published by the Free Software Foundation. Which license applies depends on the program. Check the copyright notice in the directory <prgname>/doc in the source package of the program to find out.

All programs are distributed in the hope that they will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License or the GNU Lesser (Library) General Public License for more details.