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Attribute discovery and rough sets

  • Jaroslaw Stepaniuk
Parallel Session 3a
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1263)

Abstract

Most knowledge discovery methods assume that the original representation space is adequate, that is, the initial attributes are sufficiently relevant to the problem at hand. In real-world applications discovery of new attributes and selection of relevant attributes are applied frequently in data pre-processing. In the paper we discuss rough set based approach to attribute discovery. We consider discovery of adequate attributes for structural objects. We present two algorithms for extracting new attributes.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Jaroslaw Stepaniuk
    • 1
  1. 1.Institute of Computer ScienceBialystok University of TechnologyBialystokPoland

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