Advertisement

Ranked rules and data visualization

  • Leon Bobrowski
  • Tomasz Sowiński
Communications Session 2. Visualization
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1510)

Abstract

The design of non-linear visualizing transformations of data sets that allow for a good separation of classes (categories) on the diagnostic maps is considered. The proposed transformations are based on a model of the ranked family of decision rules. Such family of rules could be generated by separate and conquer algorithms.

Key words

Extraction of rules from data ranked decision rules visualization of multivariate data diagnostic maps 

References

  1. 1.
    U. M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, Advances in Knowledge Discovery and Data Mining, AAAI Press/The MIT Press 1996Google Scholar
  2. 2.
    O. R. Duda and P. E. Hart: Pattern Classification and Scene Analysis. New York, J. Wiley 1973.MATHGoogle Scholar
  3. 3.
    Ch. M. Bishop, Neural networks for pattern recognition, Clarendon Press, Oxford 1995MATHGoogle Scholar
  4. 4.
    B. D. Ripley Pattern Recognition and Neural Networks, Cambridge University Press, 1996Google Scholar
  5. 5.
    L. Bobrowski, “The Ranked Networks of Formal Neurons”. Biocybernetics and Biomedical Engineering, Vol. 12, Nr. 1-4, pp. 61–75, 1992Google Scholar
  6. 6.
    J. Fuhrkranz: Separate-and-Conquer Rule Learning, Austrian Research Institute for Artificial Intelligence, Technical Report OEFAJ-TR-96-25 http://www.research.att.com/≈wcohen/cs536/oefai-tr-96-25.psGoogle Scholar
  7. 7.
    M. Mizard and J.-P. Nadal: Learning in Feedforward Layered Neural Networks: The Tiling Algorithm, J. Phys. A22, 2191 (1889)Google Scholar
  8. 8.
    L. Bobrowski, H. Wasyluk, “Neural networks in discrimination of liver diseases”, Biocybernetics and Biomedical Engineering, 1998 (in a press)Google Scholar
  9. 9.
    L. Bobrowski (Ed.): “Hepar-computer system for diagnossis support and data analysis” (in Polish), Prace IBIB, 31, 1992Google Scholar
  10. 10.
    H. Wasyluk, The Four Year’s Experience with HEPAR-Computer Assisted Diagnostic Program” in MEDINFO 95 Proceedings, R. A. Greenes et al. (Eds.)Google Scholar
  11. 11.
    L. Bobrowski, “Piecewise-Linear Classifiers, Formal Neurons and separability of the Learning Sets”, Proceedings of ICPR’96, pp. 224–228 (13th International Conference on Pattern Recognition”, August 25–29, 1996, Wienna, Austria)Google Scholar
  12. 12.
    L. Bobrowski: “Design of piecewise linear classifiers from formal neurons by some basis exchange technique”, Pattern Recognition, 24(9), pp. 863–870, 1991.CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Leon Bobrowski
    • 1
    • 2
  • Tomasz Sowiński
    • 1
  1. 1.Institute of Computer Science of Technical University of BiałystokPoland
  2. 2.Institute of Biocybernetics and Biomedical Engineering PASWarsaw

Personalised recommendations