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References

1
Agnar Aamodt.
Experience-driven case-based reasoning.
In S. Wess, K. Althoff, and M. Richter, editors, Topics in Case-Based Reasoning. Springer Verlag, 1994.

2
Agnar Aamodt and et al.
Integrating data mining and case-based reasoning for reuse of industrial experience - initial steps.
Unpublished.

3
Agnar Aamodt and Mads Nygård.
Different roles and mutual dependencies of data, information, and knowledge - an ai perspective on their integration.
Data and Knowledge Engineering, 16:191-222, 1995.

4
Agnar Aamodt and Enric Plaza.
Case-based reasoning: Foundational issues, methodological variations, and system approaches.
AI Communications, 7(1):39-59, 1994.

5
David W. Aha and Li Wu Chang.
Cooperative bayesian and case-based reasoning for solving multiagent planning tasks.
Technical report, Navy Center for Applied Research in AI, Naval Research Laboratory, Washington, DC, USA, 1996.

6
Klaus-Dieter Althof, Eric Auriol, Ralph Barlette, and Michel Manago.
A Review of Industrial Case-Based Reasoning Tools.
AI Intelligence, 1995.

7
Klaus-Dieter Althof, Eric Auriol, Ralph Traphöner, and Stefan Wess.
Inreca - a seamlessly integrated system based on inductive inference and case-based reasoning.
In Agnar Aamodt and Manuela Veloso, editors, Case-Based Reasoning Research and Development, ICCBR-95, pages 371-380, 1995.

8
Sarabjot Anand, Bryan Scotney, Mee Tan, Sally McClean, David Bell, John Hughes, and Ian Magill.
Designing a kernel for data mining.
IEEE Expert, 12(2):65-74, 1997.

9
Ronald J. Brachman and Tej Anand.
Advances in Knowledge Discovery and Data Mining, chapter The Process of Knowledge Discovery in Databases.
AAAI/MIT Press, 1996.

10
John S. Breese and David Heckerman.
Decision-theoretic case-based reasoning.
In Proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics, pages 56-63, 1995.

11
M. Bull, G. Kundt, and L. Gierl.
Discovering of health risks and case-based forecasting of epidemics in a health surveillance system.
In Jan Komorowski and Jan Zytkow, editors, Principles of Data Mining and Knowledge Discovery. Proceedings, pages 68-77, 1997.

12
Alan Bundy, editor.
Artificial Intelligence Techniques.
Springer Verlag, 1997.

13
Wray Buntine.
A guide to the literature on learning probabilistic networks from data.
IEEE Transactions on Knowledge and Data Engineering, 8:195-210, 1996.

14
Eugene Charniak.
Bayesian networks without tears.
AI Magazine, 12(4):50-63, 1991.

15
Thomas G. Dietterich.
Machine learning research: Four current directions.
AI Magazine, 18(4):97-136, 1997.

16
Usama M. Fayyad, Gregory Piatetsky-Shapiro, and Padhraic Smyth.
Advances in Knowledge Discovery and Data Mining, chapter From Data Mining to Knowledge Discovery: An overview.
AAAI/MIT Press, 1996.

17
David Heckerman.
Advances in Knowledge Discovery and Data Mining, chapter Bayesian Networks for Knowledge Discovery.
AAAI/MIT Press, 1996.

18
David Heckerman.
Bayesian networks for data mining.
Journal of Knowledge Discovery and Data Mining, 1(1):79-119, 1997.

19
David Heckerman, Dan Geiger, and David M. Chickering.
Learning bayesian networks: The combination of knowledge and statistical data.
Machine Learning, 20:197-243, 1995.

20
George H. John.
Enhancements to the Data Mining Process.
PhD thesis, Stanford University, 1997.

21
Hiroaki Kitano, Hideo Shimazu, and Akihiro Shibata.
Case-method: A methodology for building large-scale case-based systems.
In Proceedings of the AAAI, pages 303-308, 1993.

22
David B. Leake.
Case-Based Reasoning - Experiences, Lessons and Future Directions.
AAAI/MIT Press, 1996.

23
Aleksander Øhrn and Jan Komorowski.
Rosetta - a rough set toolkit for analysis of data.
In Proceedings of the third International Conference on Information Sciences, pages 403-407, 1997.

24
Seishi Okamoto and Ken Satoh.
An average-case analysis of k-nearest neighbor classifier.
In Agnar Aamodt and Manuela Veloso, editors, Case-Based Reasoning Research and Development, ICCBR-95, pages 253-264, 1995.

25
Judea Pearl.
Probabilistic Reasoning in intelligent systems.
Morgan Kaufmann, 1988.

26
Geraldine Polaillon and Edwin Diday.
Galois lattices construction and application in symbolic data analysis.
Technical report, CEREMADE, Universite Paris IX Dauphine, 1996.

27
Marco Ramoni and Paola Sebastini.
Discovering bayesian networks in incomplete databases.
Technical report, Knowledge Media Institute, The Open University, 1997.

28
Andres F. Rodriguez, Sunil Vadera, and L. Enrique Sucar.
A probabilistic model for case-based reasoning.
In I Smith and B Faltings, editors, Case-Based Reasoning Research and Development, ICCBR-97. Proceedings, pages 623-632, 1997.

29
Jonh Stutz and Peter Cheeseman.
Advances in Knowledge Discovery and Data Mining, chapter Bayesian Classification (AutoClass).
AAAI/MIT Press, 1996.

30
Henry Tirri, Perti Kontkanen, and Petri Myllymäksi.
A bayesian framework for case-based reasoning.
In I Smith and B Faltings, editors, Advances in Case-Based Reasoning, EWCBR-96, pages 413-427, 1996.


Torgeir Dingsoyr
2/26/1998