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\bibitem{prolit}
Wray Buntine.
\newblock A guide to the literature on learning probabilistic networks from
  data.
\newblock To appear in IEEE Transactions on Knowledge and Data Engineering.

\bibitem{ilp2}
Sa\v{s}o D\v{z}eroski.
\newblock Inductive logic programming and knowledge discovery in databases.
\newblock In {\em Advances in Knowledge Discovery and Data Mining}. AAAI/MIT
  Press, 1996.

\bibitem{noemie}
Agnar~Aamodt et~al.
\newblock Integrating data mining and case-based reasoning for reuse of
  industrial experience - initial steps.

\bibitem{stat}
Clark~Glymour et~al.
\newblock Statistical inference and data mining.
\newblock {\em Communications of the ACM}, 39(11), 1996.

\bibitem{inreca}
Klaus-Dieter~Althoff et. al.
\newblock {\em INRECA - An Evaluation of the Final Integrated System}.
\newblock 1995.

\bibitem{ilp1}
Nada~Lavra\v{c} et~al.
\newblock Ilpnet repositories on www: Inductive logic programming systems,
  datasets and bibliography.
\newblock {\em AI Communications}, 9(4), 1996.

\bibitem{bayintro}
David Heckerman.
\newblock Bayesian networks for knowledge discovery.
\newblock In {\em Advances in Knowledge Discovery and Data Mining}. AAAI/MIT
  Press, 1996.

\bibitem{ros}
A.~�hrn and J.~Komorowski.
\newblock Rosetta - a rough set toolkit for analysis of data.

\bibitem{mol}
Torulf Mollestad.
\newblock {\em A Rough Set Approach to Data Mining: Extracting a Logic of
  Default Rules from data}.
\newblock PhD thesis, NTNU, 1997.

\bibitem{p91}
Z~Pawlac.
\newblock {\em Rough Sets, Theorethcal Aspects of Reasoning about Data}.
\newblock Kluwer Academic Publishers, 1991.

\bibitem{P82}
Z.~Pawlak.
\newblock Rough sets.
\newblock {\em International Journal of Information and Computer Science},
  11(5):341-356, 1982.

\bibitem{PS93}
Z.~Pawlak and A.~Skowron.
\newblock A rough set approch to decision rules generation.
\newblock Technical report, University of Warsaw, 1993.

\bibitem{pearl}
Judea Pearl.
\newblock {\em Probabilistic Reasoning in intelligent systems}.
\newblock Morgan Kaufmann, 1988.

\bibitem{Cheeseman}
John~Stutz Peter~Cheeseman.
\newblock Bayesian classification (autoclass): Theory and results.
\newblock In {\em Advances in Knowledge Discovery and Data Mining}. AAAI/MIT
  Press, 1996.

\bibitem{ripley}
B.~D. Ripley.
\newblock {\em Pattern Recognition and Neural Networks}.
\newblock Cambridge University Press, 1996.

\bibitem{human}
Tej~Anand Ronald J.~Brachman.
\newblock The process of knowledge discovery in databases.
\newblock In {\em Advances in Knowledge Discovery and Data Mining}. AAAI/MIT
  Press, 1996.

\bibitem{sko95}
A.~Skoworon.
\newblock Syntesis of adaptive decision systems from experimental data.
\newblock In A.~Aamodt and J.~Komorowski, editors, {\em Fifth Scandinavian
  Conference on Artificial Intelligence}. IOS Press, 1995.

\bibitem{S93}
A.~Skowron.
\newblock Boolean reasoning for decision rules generation.
\newblock In J.~Komorowski and Z.W. Ras, editors, {\em 7th International
  Symposium for Methodologies for Inteligent Systems, ISMIS '93}, pages
  295--305. Springer Verlag, 1993.

\bibitem{intro}
Padhraic~Smyth Usama M.~Fayyad, Gregory Piatetsky-Shapiro.
\newblock From data mining to knowledge discovery: An overview.
\newblock In {\em Advances in Knowledge Discovery and Data Mining}. AAAI/MIT
  Press, 1996.

\end{thebibliography}
