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Interface between Logical Analysis of Data and Formal Concept Analysis

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  • Janostik, Radek
  • Konecny, Jan
  • Krajča, Petr

Abstract

Logical Analysis of Data and Formal Concept Analysis are separately developed methodologies based on different mathematical foundations. We show that the two methodologies utilize the same basic building blocks. That enables us to develop an interface between the two methodologies. We provide some preliminary benefits of the interface; most notably efficient algorithms for computing spanned patterns in Logical Analysis of Data using algorithms of Formal Concept Analysis.

Suggested Citation

  • Janostik, Radek & Konecny, Jan & Krajča, Petr, 2020. "Interface between Logical Analysis of Data and Formal Concept Analysis," European Journal of Operational Research, Elsevier, vol. 284(2), pages 792-800.
    • Handle: RePEc:eee:ejores:v:284:y:2020:i:2:p:792-800
    DOI: 10.1016/j.ejor.2020.01.015
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    References listed on IDEAS

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    1. P. Hammer & A. Kogan & M. Lejeune, 2011. "Reverse-engineering country risk ratings: a combinatorial non-recursive model," Annals of Operations Research, Springer, vol. 188(1), pages 185-213, August.
    2. Lejeune, Miguel & Lozin, Vadim & Lozina, Irina & Ragab, Ahmed & Yacout, Soumaya, 2019. "Recent advances in the theory and practice of Logical Analysis of Data," European Journal of Operational Research, Elsevier, vol. 275(1), pages 1-15.
    3. Hammer, P.L. & Kogan, A. & Lejeune, M.A., 2006. "Modeling country risk ratings using partial orders," European Journal of Operational Research, Elsevier, vol. 175(2), pages 836-859, December.
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    5. Sorin Alexe & Eugene Blackstone & Peter Hammer & Hemant Ishwaran & Michael Lauer & Claire Pothier Snader, 2003. "Coronary Risk Prediction by Logical Analysis of Data," Annals of Operations Research, Springer, vol. 119(1), pages 15-42, March.
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    Cited by:

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