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Proper is a propositionalization framework written in Java containing several algorithms for generating propositional (and also multi-instance) data from relational databases. It produces data that can be used by the WEKA machinelearning workbench.
PCP (Pattern Classification Program) is an open-source machinelearning program for supervised classification of patterns. PCP is a binary executable running on Linux and Windows (under Cygwin environment).