Missing template decomposition method and its implementation in rough set exploration system

  • Authors:
  • Jan G. Bazan;Rafał Latkowski;Marcin Szczuka

  • Affiliations:
  • Institute of Mathematics, University of Rzeszów, Rzeszów, Poland;Institute of Informatics, Warsaw University, Warsaw, Poland;Institute of Mathematics, Warsaw University, Warsaw, Poland

  • Venue:
  • RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
  • Year:
  • 2006

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Abstract

We describe a method of dealing with sets that contain missing information in case of classification task. The described method uses multi-stage scheme that induces and combines classifiers for complete parts of the original data. The principles of the proposed Missing Template Decomposition Method are presented together with general explanation of the implementation within the RSES framework. The introduced ideas are illustrated with an example of classification experiment on a real data set.