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http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-article-PWA4-0027-0002

Czasopismo

Journal of Medical Informatics & Technologies

Tytuł artykułu

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

Autorzy Nowak-Brzezińska, A.  Simiński, R. 
Treść / Zawartość
Warianty tytułu
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
PL bazy wiedzy   wnioskowanie   decyzja jednostek   analiza skupień  
EN knowledge bases   inference   decision units   cluster analysis  
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
[1] FRAWLEY W., PIATESKY-SHAPIRO G., MATHEUS C., Knowledge Discovery in Databases: An Overview. Fall 1992, AI Magazine, pp. 213-228.
[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.
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-article-PWA4-0027-0002
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