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Online Learning Algorithm for Ensemble of Decision Rules

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Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6743))

Abstract

We describe an online learning algorithm that builds a system of decision rules for a classification problem. Rules are constructed according to the minimum description length principle by a greedy algorithm or using the dynamic programming approach.

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References

  1. Moshkov, M., Piliszczuk, M., Zielosko, B.: Partial Covers, Reducts and Decision Rules in Rough Sets: Theory and Applications. Studies in Computational Intelligence, vol. 145. Springer, Heidelberg (2008)

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  2. Pawlak, Z.: Rough Sets—Theoretical Aspects of Reasoning about Data. Kluwer Academic Publishers, Dordrecht (1991)

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  3. Rissanen, J.: Modeling by shortest data description. Automatica 14, 465–471 (1978)

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  4. Zielosko, B., Moshkov, M., Chikalov, I.: Optimization of decision rules based on methods of dynamic programming. Bulletin of Nizhny Novgorod State University (to appear) (in Russian)

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Author information

Authors and Affiliations

  1. Mathematical and Computer Sciences & Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955-6900, Saudi Arabia

    Igor Chikalov, Mikhail Moshkov & Beata Zielosko

Authors
  1. Igor Chikalov
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  2. Mikhail Moshkov
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  3. Beata Zielosko
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Editor information

Editors and Affiliations

  1. State University Higher School of Economics, Pokrovskiy Bd. 11, 109028, Moscow, Russia

    Sergei O. Kuznetsov

  2. Institute of Mathematics, University of Warsaw, ul. Banacha 2, 02-097, Warsaw, Poland

    Dominik Ślęzak

  3. Department of Computer Science, University of Regina, 3737 Wascana Parkway, S4S 0A2, Regina, SK, Canada

    Daryl H. Hepting

  4. Birbeck University of London, Malet Street, WC1E 7HX, London, UK

    Boris G. Mirkin

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© 2011 Springer-Verlag Berlin Heidelberg

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Chikalov, I., Moshkov, M., Zielosko, B. (2011). Online Learning Algorithm for Ensemble of Decision Rules. In: Kuznetsov, S.O., Ślęzak, D., Hepting, D.H., Mirkin, B.G. (eds) Rough Sets, Fuzzy Sets, Data Mining and Granular Computing. RSFDGrC 2011. Lecture Notes in Computer Science(), vol 6743. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21881-1_48

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  • DOI: https://doi.org/10.1007/978-3-642-21881-1_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-21880-4

  • Online ISBN: 978-3-642-21881-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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