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The Incompleteness Factor Method as a Support of Inference in Decision Support Systems

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Beyond Databases, Architectures, and Structures (BDAS 2014)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 424))

Abstract

The authors propose the incompleteness factor (IF) method to improve the effectiveness of browsing in knowledge bases with missing data. The paper explains the whole method, which is based on certainty factors and cluster analysis. The experiments’ results conducted to obtain optimal parameters for the algorithm are presented. The evaluation is made by using recall, precision, F-measure and other factors.

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Author information

Authors and Affiliations

  1. Institute of Computer Science, University of Silesia, ul. Bȩdzińska 29, 41-200, Sosnowiec, Poland

    Agnieszka Nowak-Brzezińska & Tomasz Jach

Authors
  1. Agnieszka Nowak-Brzezińska
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  2. Tomasz Jach
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Corresponding author

Correspondence to Agnieszka Nowak-Brzezińska .

Editor information

Editors and Affiliations

  1. Silesian University of Technology Inst. Computing Science, Gliwice, Poland

    Stanislaw Kozielski

  2. Silesian University of Technology Institute of Informatics, Gliwice, Poland

    Dariusz Mrozek

  3. Silesian University of Technology, Gliwice, Poland

    Pawel Kasprowski

  4. Silesian University of Technology, Gliwice, Poland

    Bożena Małysiak-Mrozek

  5. Silesian University of Technology, Gliwice,, Poland

    Daniel Kostrzewa

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© 2014 Springer International Publishing Switzerland

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Nowak-Brzezińska, A., Jach, T. (2014). The Incompleteness Factor Method as a Support of Inference in Decision Support Systems. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds) Beyond Databases, Architectures, and Structures. BDAS 2014. Communications in Computer and Information Science, vol 424. Springer, Cham. https://doi.org/10.1007/978-3-319-06932-6_20

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  • DOI: https://doi.org/10.1007/978-3-319-06932-6_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06931-9

  • Online ISBN: 978-3-319-06932-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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