References

AK92

T. Anand and G. Kahn. Spotlight: A data explanation system. In Proceedings of CAIA-92. IEEE Computer Society, 1992.

AM95

Igor Aleksander and Helen Morton. An Introduction to Neural Computing. International Thomson Computer Press, second edition, 1995.

APBL91

C.-S. Ai, Jr. P.E. Blower, and R.H. Ledwith. Extracting reaction information from chemical databases. In Gregory Piatetsky-Shapiro and William J. Frawley, editors, Knowledge discovery in databases, chapter 9, pages 367-382. AAAI Press/The MIT Press, 1991.

BCHW91

Elizabeth Byrnes, Thomas Campfield, Niel Henry, and Steven Waldman. Inspector: An expert system for monitoring activities in foreign exchange. In Alain Rappaport and Reid Smith, editors, Innovative applications of artificial intelligence 2, pages 15-24. AAAI Press, 1991.

CW91

Keith C. C. Chan and Andrew K. C. Wong. A statistical technique for extracting classificatory knowledge from databases. In Gregory Piatetsky-Shapiro and William J. Frawley, editors, Knowledge discovery in databases, chapter 6, pages 107-123. AAAI Press/The MIT Press, 1991.

DD93

C.J. Date and Hugh Darwen. A guide to the SQL Standard. Addison Wesley, 1993.

DF95

Karsten M. Decker and Sergio Focardi. Technology overview: A report on data mining. Technical Report CSCS TR-95-02, CSCS-ETH, Swiss Scientific Computing Center, 1995.

EN94

R. Elmasri and S.B. Navathe. Fundamentals of Database Systems. Addison Wesley, 1994.

FPSM92

W. Frawley, G. Piatetsky-Shapiro, and C. Matheus. Knowledge discovery in databases: An overview. AI Magazine, Fall issue, 1992.

FWD93

U. Fayyad, N. Weir, and S. Djorgovski. Automated analysis of a large scale sky survey: The skicat system. In Proceedings of KDD-93 Workshop. AAAI Press, 1993.

GGH89

W. Gellert, S. Gottwald, M. Hellwich, H. Kaestner, and H. Kustner (editors). The VNR concise encyclopedia of mathematics. Van Nostrand Reinhold, 1989.

Hju96

Jon Petter Hjulstad. Mining propositional default rules. Master's thesis, The Norwegian University of Science and Technology, 1996.

HS94

M. Holsheimer and A.P.J.M. Siebes. Data mining: the search for knowledge in databases. Technical Report CS-R9406, CWI, P.O. Box 94079, 1090 BG Amsterdam, The Netherlands, 1994.

LB91

H. Lounis and G. Bisson. Evaluation of learning systems: An artificial data-based approach. In Y. Kodratoff, editor, Machine Learning, number EWSL - 91, pages 463-481. 1991.

LP

Andrzej Lenarcik and Zdzislav Piasta. Minimizing the number of rules in deterministic rough classifiers.

LS93

George F. Luger and William A. Stubblefield. Artificial Intelligence: Structures and strategies for complex problem solving. The Benjamin/Cummings Publishing Company, Inc., second edition, 1993.

Mel96

Gabor Melli. In Synthetic Classification Data Sets, http://www.cs.sfu.ca/cs/people/GradStudents/melli/SCDS/intro.html, 1996. Faculty of Applied Sciences at Simon Fraser University.

MG94

Rokia Missaoui and Robert Godin. Search for concepts and dependencies in databases. In W. P. Ziarko, editor, Rough Sets, Fuzzy Sets and Knowledge. Discovery. Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD'93), pages 16-23, Berlin, Germany, 1994. Springer-Verlag.

MM96

C. J. Merz and P. M. Murphy. In UCI Repository of machine learning databases, http://www.ics.uci.edu/~mlearn/MLRepository.html, 1996. Irvine, CA: University of California, Department of Information and Computer Science.

Mol95

Torulf Mollestad. Learning propositional default rules using the rough set approach. In A. Aamodt and J. Komorowski, editors, Scandinavian Conference on Artificial Intelligence. IOS Press, 1995.

Mol96

Torulf Mollestad. A rough set approach to default rule data mining. Master's thesis, Norwegian Institute of Technology, Trondheim, Norway, September 1996. Forthcoming PhD thesis.

MS96

T. Mollestad and A. Skowron. A rough set framework for data mining of propositional default rules. To be published, January 1996.

NM94

Ulf Nilsson and Jan Maluszynski. Logic, Programming and Prolog. Wiley, 1994.

Paw91

Zdzislaw Pawlak. ROUGH SETS. Kluwer Academic Publishers, 1991.

PGA86

D. Poole, R. Goebel, and R. Aleliunas. Theorist: A logical reasoning system for defaults and diagnosis. In N.J. Cercone and G. McCalla, editors, The Knowledge frontier: Essays in the Representation of Knowledge, number CS-86-06, pages 331-352. Springer-Verlag, 1986.

Poo88

D. Poole. A logical framework for default reasoning. Artificial Intelligence, (36):27-47, 1988.

Poo89

D. Poole. Explanation and prediction: An architecture for default and abductive reasoning. Computational Intelligence, (5(2)):97-110, 1989.

PS94

Gregory Piatetsky-Shapiro. An overview of knowledge discovery in databases: Recent progress and challenges. In W. P. Ziarko, editor, Rough Sets, Fuzzy Sets and Knowledge. Discovery. Proceedings of the International Workshop on Rough Sets and Knowledge Discovery (RSKD'93), pages 1-10, Berlin, Germany, 1994. Springer-Verlag.

Qui79

J. R. Quinlan. Discovering rules by induction from large numbers of examples: a case study. In D. Michie, editor, Expert systems in the micro-electronic age. Edinburg University Press, 1979.

Qui86

J. R. Quinlan. Induction of deciscion trees. In Machine learning, volume 1, pages 81-106. Kluwer Academic Publishers, 1986.

Rei80

R. Reiter. A logic for default reasoning. Computational Intelligence, (13):91-132, 1980.

RN95

Stuart Russel and Peter Norvig. Artificial Intelligence: A modern approach. Series in Artificial Intelligence. Prentice Hall, 1995.

SA91

V. Sperscheider and G. Antoniou. LOGIC A Foundation for Computer Science. Addison Wesley, 1991.

Sal96

Steven L. Salzberg. On comparing classifiers: A critique of current research and methods. 1996.

SG91

Padhraic Smyth and Rodney M. Goodman. Rule induction using information theory. In Gregory Piatetsky-Shapiro and William J. Frawley, editors, Knowledge discovery in databases, chapter 9, pages 159-176. AAAI Press/The MIT Press, 1991.

Sha48

Claude E. Shannon. A mathematical theory of communication. Bell System Technical Journal, (27(3)):379-423, 1948.

SHC

Ning Shan, Howard J. Hamilton, and Nick Cercone. Grg: Knowledge discovery using information generalization, information reduction, and rule generation.

SN95

Andrzej Skowron and Son H. Nguyen. Quantization of real value attributes. Technical report, Warsaw University, 1995.

Ste93

Jerzy Stefanowski. Classification and decision supporting based on rough sets theory. Foundations of computing and decision science, pages 371-380, 1993.

Syn

Piotr Synak. Rough Set Expert System User's Manual.

Szl94

Adam J. Szladow. Datalogic/r: A tool for mining knowledge in databases. Canadian Artificial Intelligence, Winter 1994.

Tru92

J. K. Truss. Discrete mathematics for computer scientists. Addison Wesley, 1992.

Wro95

Jakub Wrobleski. Finding minimal reducts using genetic algorithm. Technical report, Univerity of Warsaw, 1995.

ZS94

W. Ziarko and N. Shan. Kdd-r: A comprehensive system for knowledge discovery in databases using rough sets. In T.Y. Lin, editor, RSSC'94 The Third International Workshop on Rough Sets and Soft Computing, pages 164-173, 1994.

 

%