PARMA: A Parallel Randomized Algorithms for Approximate Association Rules Mining in MapReduce
=====

This is the code for the PARMA algorithm.

See Riondato M., DeBrabant J.A., Fonseca R., and Upfal E., "PARMA: A Parallel Randomized Algorithm for Approximate 
Association Rules Mining in MapReduce". ACM CIKM'12

PARMA: A Parallel Randomized Algorithms for Approximate Association Rules Mining in MapReduce
=====

This is the code for the PARMA algorithm, described in Riondato M., DeBrabant
J.A., Fonseca R., and Upfal E., "PARMA: A Parallel Randomized Algorithm for
Approximate Association Rules Mining in MapReduce". ACM CIKM'12

The code is distributed according to the Apache License Version 2.0. See the
LICENSE and the NOTICE file.

This package includes "Guava: Google Core Libraries for Java", which is
distributed under the Apache License Version 2.0. See
https://code.google.com/p/guava-libraries/

This package also includes code from "The LUCS-KDD
FP-growth Association Rule Mining Algorithm" ("The LUCS-KDD code") by Frans Coenen, available (as June
2014) from http://cgi.csc.liv.ac.uk/~frans/KDD/Software/FPgrowth/fpGrowth.html .
The LUCS-KDD code comes with no license as far as we know, and we redistribute
it under the same terms (no license).


Add more details about the status of the work.
Add more details about the status of the work.
