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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 machine learning workbench.
networks.tb is a suite designed for analyzing socio-semantic networks, in a dynamic framework. It also features tools for computing Galois Lattices in such networks and importing MedLine bibliographical databases.