Automated Knowledge Acquisition Activities at theDept
نویسنده
چکیده
We present two diierent approaches to knowledge acquisition from data, which have been developed and implemented at the Dept. of Information and Knowledge Engineering of the Prague University of Economics. The KEX approach is based on the idea of acquiring PROSPECTOR like knowledge base in the form of weighted rules. The RS approach is based on a variation of the rough sets theory. The report describes both algorithms and applications of program packages that have been built upon them. Both systems are then compared using so-called MONK problems, an artiicial task that has been previously used for a comparison of various learning algorithms.
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