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Knowledge Mining Approach for Optimization of Inference Processes in Rule Knowledge Bases

  • Conference paper
On the Move to Meaningful Internet Systems: OTM 2012 Workshops (OTM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7567))

Abstract

The main aim of the article is to present modifications of inference algorithms based on information extracted from large sets of rules. The conception of cluster analysis and decision units will be used for discovering knowledge from such data.

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References

  1. Nowak, A., Simiński, R., Wakulicz-Deja, A.: Towards modular representation of knowledge base. In: Intelligent Information Processing and Web Mining. AISC, pp. 421–428. Physica-Verlag, Springer Verlag Company (2006)

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  3. Nowak-Brzezińska, A., Simiński, R., Jach, T., Xięski, T.: Towards a Practical Approach to Discover Internal Dependencies in Rule-Based Knowledge Bases. In: Yao, J., Ramanna, S., Wang, G., Suraj, Z. (eds.) RSKT 2011. LNCS, vol. 6954, pp. 232–237. Springer, Heidelberg (2011)

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  4. Simiński, R., Wakulicz-Deja, A.: Verification of Rule Knowledge Bases Using Decision Units. In: Intelligent Information Systems. AISC, pp. 185–192. Physica Verlag, Springer Verlag Company (2000)

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  6. Delimata, P., Marszał-Paszek, B., Moshkov, M., Paszek, P., Skowron, A., Suraj, Z.: Comparison of Some Classification Algorithms Based on Deterministic and Nondeterministic Decision Rules. In: Peters, J.F., Skowron, A., Słowiński, R., Lingras, P., Miao, D., Tsumoto, S. (eds.) Transactions on Rough Sets XII. LNCS, vol. 6190, pp. 90–105. Springer, Heidelberg (2010)

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, ul. Bȩdzińska 39, 41-200, Sosnowiec, Poland

    Agnieszka Nowak-Brzezińska & Roman Simiński

Authors
  1. Agnieszka Nowak-Brzezińska
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  2. Roman Simiński
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Editor information

Editors and Affiliations

  1. Facultad de Informática, Universidad Politécnica de Madrid, Campus de Montegancedo S/N, Boadilla del Monte, 28660, Madrid, Spain

    Pilar Herrero

  2. Research Centre for Automatic Control, School of Engineering in Information Technology, University of Lorraine, CNRS, Campus scientifique, BP 70239, 54506, Vandoeuvre-les-Nancy, France

    Hervé Panetto

  3. Department of Computer Science, Semantic Technology and Application Research Laboratory (STARLab), Vrije Universiteit Brussel, Building G-10, Pleinlaan 2, 1050, Brussels, Belgium

    Robert Meersman

  4. La Trobe University, Melbourne, VIC, Australia

    Tharam Dillon

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© 2012 Springer-Verlag Berlin Heidelberg

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Nowak-Brzezińska, A., Simiński, R. (2012). Knowledge Mining Approach for Optimization of Inference Processes in Rule Knowledge Bases. In: Herrero, P., Panetto, H., Meersman, R., Dillon, T. (eds) On the Move to Meaningful Internet Systems: OTM 2012 Workshops. OTM 2012. Lecture Notes in Computer Science, vol 7567. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33618-8_70

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  • DOI: https://doi.org/10.1007/978-3-642-33618-8_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33617-1

  • Online ISBN: 978-3-642-33618-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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