uARMSolver allows users to preprocess their data in a transaction database, to
make discretization of data, to search for association rules and to guide a
presentation/visualization of the best rules found using external tools.
Mining the association rules is defined as an optimization and solved using
the nature-inspired algorithms that can be incorporated easily. Because
the algorithms normally discover a huge amount of association rules, the
framework enables a modular inclusion of so-called visual guiders for
extracting the knowledge hidden in data, and visualize these using
external tools.
