Attribute Ranking Driven Filtering of Decision Rules

  • Urszula Stańczyk
Conference paper

DOI: 10.1007/978-3-319-08729-0_21

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8537)
Cite this paper as:
Stańczyk U. (2014) Attribute Ranking Driven Filtering of Decision Rules. In: Kryszkiewicz M., Cornelis C., Ciucci D., Medina-Moreno J., Motoda H., Raś Z.W. (eds) Rough Sets and Intelligent Systems Paradigms. RSEISP 2014. Lecture Notes in Computer Science, vol 8537. Springer, Cham


In decision rule induction approaches either minimal, complete, or satisfying sets of constituent rules are inferred, with an aim of providing predictive properties while offering descriptive capabilities for the learned concepts. Instead of limiting rules at their induction phase we can also execute post-processing of the set of generated decision rules (whether it is complete or not) by filtering out those that meet some constraints. The paper presents the research on rule filtering while following a ranking of conditional attributes, obtained in the process of sequential forward selection of input features for ANN classifiers.


Decision Algorithm Decision Rule DRSA Feature Selection Ranking Rule Filtering ANN Stylometry Authorship Attribution 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Urszula Stańczyk
    • 1
  1. 1.Institute of InformaticsSilesian University of TechnologyGliwicePoland

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