Abstract
An in-house developed computer program system Belief SEEKER, capable to generate belief networks and to convert them into respective sets of belief rules, was applied in mining the melanoma database. The obtained belief rules were compared with production rules generated by LERS system. It was found, that belief rules can be presumably treated as a generalization of standard IF...THEN rules.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
P. Błajdo, J.W. Grzymała-Busse, Z.S. Hippe, M. Knap, T. Marek, T. Mroczek, M. Wrzesień: A suite of machine learning tools for knowledge extraction from data, In: R. Tadeusiewicz, A. Ligęza, M. Szymkat (Eds.), Computer Methods and Systems in Scientific Research, Edition of “Oprogr. Naukowe”, Cracow 2003, pp. 479–484 (in Polish).
M.R. Chmielewski, J.W. Grzymała-Busse, Neil W. Peterson, S. Than: The Rule Induction System LERS — A Version for Personal Computers, Foundations of Computing and Dec. Sciences 1993 (18, No 3–4) pp. 181–211.
Z. Pawlak: Knowledge and rough set, In: W. Traczyk (Eds.), Problem of artificial intelligence, Wiedza i życie — Warsaw 1995, pp. 9–21 (in Polish).
T. Mroczek, J.W. Grzymała-Busse, Z.S. Hippe: Rules from belief networks: A Rough Set Approach, In: S. Tsumoto, R. Słowiński, J. Komorowski, J.W. Grzymała-Busse (Eds.), Rough Sets and Current Trends in Computing, Springer-Verlag, Uppsala, Sweden 2004, pp.483–487
D. Heckerman: A Tutorial on Learning Bayesian Networks, Technical report MSR-TR-95-06. heckerman@microsoft.com.
Z.S. Hippe: Design and Application of New Knowledge Engineering Tool for Solving Real World Problems, Knowledge-Based Systems 9(1996)509–515.
J.W. Grzymała-Busse: A New Version of the Rule Induction System LERS, Fundamenta Informaticae 31(1997)27–39.
J.W. Grzymała-Busse, W. Ziarko: Data Using Based on Rough Sets, In: J. Wang (Eds.), Data Mining: Opportunities and Challenges, Idea Group Publishing, Hershey 2003, pp. 142–173.
A. Alvarez, S. Bajcar, F.M. Brown, J.W. Grzymała-Busse, Z.S. Hippe: Optimization of the ABCD Formula Used for Melanoma Diagnosis, In: M.A. Kłopotek, S.T. Wierzchoń, K. Trojanowski (Eds.), Advances in Soft Computing, Springer-Verlag, Heidelberg 2003, pp.233–240.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Grzymała-Busse, J.W., Hippe, Z.S., Mroczek, T. (2005). Belief Rules vs. Decision Rules: A Preliminary Appraisal of the Problem. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_47
Download citation
DOI: https://doi.org/10.1007/3-540-32392-9_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25056-2
Online ISBN: 978-3-540-32392-1
eBook Packages: EngineeringEngineering (R0)