Ruleminer is an experimental tool for performing various data-mining tasks, especially focused on searching for association rules. The aim is to research the association rules mining process and to develop new approaches for solving the related problems.


  • Multiplatform (Java)
  • Open-source (GNU General Public License)
  • Reading data from CSV
  • Searching for impact rules while utilizing various pruning mechanisms that speed-up the search process:
    • Searching top n best rules
    • Pruning trivial rules
    • Searching for "very interesting" impact rules
  • Allowing both positive and negative predicates in the conditions


This project was partially supported by the internal grant number SGS1/PDF/2011 of the University of Ostrava.