Choosing a propoper metric and clustering rules in composited knowledge base efficiency

Agnieszka Nowak-Brzezińska, Alicja Wakulicz-Deja

Abstract


The paper presents the results of the experiments analyzing an influence choosed similarity measure on the efficiency of rules (from composited knowledge bases) clustering. In authors oppinion. Each time when we use different measure we achieving different structure of rules’ clusters and the results of inference process.

Keywords


cluster analysis; rules knowledge bases; similarity measure

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References


Kaufman L., Rousseeuw P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. John Wiley Sons, New York 1990.

Koronacki J., Cwik J.: Statystyczne systemy uczące się. WNT, Warszawa 2005.

Nowak A., Wakulicz-Deja A., Bachliński S.: Optimization of Speech Recognition by Clustering of Phones. Fundamenta Informaticae 72, IOS Press, 2006, s. 283-293

Nowak A., Simiński R., Wakulicz-Deja A.: Towards modular representation of knowledge base. Springer-Verlag Berlin Heidelberg - Advances in Soft Computing, 2006, s. 421-428.

Salton G.: Automatic Information Organization and Retrewal. McGraw-Hill, New York 1975.

Jardine N., van Rijsbergen C.J.: The use of hierarchie clustering in information retrieval. Information Storage and Retrieval 7, s. 217-240.

Bren M., Batagejl V.: The Metrbc Index. University of Ljubljana, Preprint series, Vol. 35, 561, Ljubljana, SIovenia 1997.

Nowak A., Wakulicz-Deja A., Simiński, R.: Knowledge representation for composited knowledge bases. Control and Cybernetics, Intelligent Information Systems 2008, Zakopane 2008, ISBN 978-83-60434-44-4, s. 405-414.

Nowak A., Wakulicz-Deja A.: The inference processes on composited knowledge bases. Control and Cybernetics, Intelligent Information Systems 2009, 2008, ISBN 978-83 60434-44-4, s. 415-422.

Nowak A., Zielosko B.: Inference Processes on Clustered Partial Decision Rules Recc Advances In Intelligent Information Systems, Springer-Verlag, Advances In Soft Computing, Academic Publishing House EXIT 2009, ISBN 978-83-60434-59-8, s. 579-588.

Nowak A., Zielosko B.: Clustering of partial decision rules. Advanced In Intelligent an Soft Computing, Man - Machine Interactions, Springer-Yerlag 2009, s. 183-190.

UC Irvine Machine Learning Repository: http://archive.ics.uci.edu/ml/




DOI: http://dx.doi.org/10.21936/si2010_v31.n2A.363