Knowledge mining approach for optimization of inference processes in medical rule knowledge bases

• Autorzy: Nowak-Brzezińska A. , Simiński R.
• Języki publikacji: EN

Abstrakty

EN

The main aim of the article is to present the modifications of inference algorithms based on information extracted from large rule sets. The article introduces the conception of discovering the knowledge about rules saved in rule bases. It also describes the cluster analysis and decision units conception for this task and presents the optimization of forward and backward inference algorithms as well as selected experimental results.

Słowa kluczowe

EN

knowledge bases; inference; decision units; cluster analysis

PL

baza wiedzy; wnioskowanie; decyzja jednostek; analiza skupień

• Wydawca: University of Silesia, Institute of Informatics, Computer Systems Department
• Czasopismo: Journal of Medical Informatics & Technologies
• Rocznik: 2012
• Tom: Vol. 20
• Strony: 19--27
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Nowak-Brzezińska A.

• University of Silesia, Institute of Computer Science, Będzińska 39, 41-200 Sosnowiec, Poland

autor

Simiński R.

Bibliografia

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• [2] HAND D., MANNILA H., SMYTH P., Principles of Data Mining. MIT Press, 2001, Cambridge, MA.
• [3] NOWAK A., SIMINSKI R., WAKULICZ-DEJA A., Towards modular representation of knowledge base, Advances in Soft Computing, Physica-Verlag, Intelligent Information Processing and Web Mining, 2006, Springer Verlag Company, pp. 421-428.
• [4] NOWAK A., WAKULICZ-DEJA A, The way of rules representation in composited knowledge bases, Advanced In Intelligent and Soft Computing, Man - Machine Interactions, 2009, Springer-Verlag, pp. 175-182.
• [5] NOWAK A., SIMINSKI R., JACH T., XIESKI T., Towards a practical approach to discover internal dependencies in rule-based knowledge bases, 2011, Lecture Notes in Computer Science, LNCS 6954, Springer Verlag, pp. 232-237.
• [6] PASZEK P., MARSZAL – PASZEK B., Nondeterministic Decision Rules in Classification Process. In: P. Herrero et al. (Eds.): OTM 2012 Workshops, 2012, LNCS 7567, Springer-Verlag, pp. 485–494.
• [7] SKOWRON A., KOMOROWSKI H.J, PAWLAK Z., POLKOWSKI L.T., A rough set perspective on data and knowledge. Handbook of Data Mining and Knowledge Discovery, UK January 2002, Oxford University Press Oxford, pp. 134-149.
• [8] SIMIŃSKI R., WAKULICZ-DEJA A., Verification of Rule Knowledge Bases Using Decision Units, in Advances in Soft Computing, Intelligent Information Systems, Physica Verlag, 2000, Springer Verlag Company, pp. 185-192.
• [9] SIMIŃSKI R., WAKULICZ-DEJA A., Decision units as a tool for rule base modeling and verification, in Advances in Soft Computing, 2003, Information Processing and Web Mining, Springer Verlag Company, pp. 553-556.
• [10] SIMIŃSKI R.: Decision units approach in knowledge base modeling, 2009, Recent Advances in Intelligent Information Systems, Academic Publishing House EXIT, pp. 597-606.
• [11] On-line information: Reasoning About Rete, www.haley.com, 2001, The Haley Enterprise, Inc.