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Automatic Data Understanding

A Linguistic Tool for Granular Cognitive Maps Designing

  • Conference paper
Intelligent Systems'2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 322))

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Abstract

This study is concerned with an issue of automatic data understanding being treated as a fundamental tool used in cognitive maps creation. The underlying objective of this paper is to elaborate on a paradigm of automatic data understanding. We highlight the syntactic and semantic aspects of data. Granular Computing and information granules play a central role in all processes of data understanding by facilitating establishing a suitable perspective at the problem at hand where the data need to be looked at. Our intent is to illustrate a realization of the paradigm in the realm of music information, its processing and understanding, rather than embarking on the formal framework.

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Author information

Authors and Affiliations

  1. Faculty of Mathematics and Information Science, Warsaw University of Technology, ul. Koszykowa 75, 00-662, Warszawa, Poland

    Wladyslaw Homenda

  2. System Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warszawa, Poland

    Witold Pedrycz

  3. Department of Electrical & Computer Engineering, University of Alberta, Edmonton, T6R 2G7, AB, Canada

    Witold Pedrycz

Authors
  1. Wladyslaw Homenda
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  2. Witold Pedrycz
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Corresponding author

Correspondence to Wladyslaw Homenda .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University, Lancaster, United Kingdom

    P. Angelov

  2. Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Sofia, Bulgaria

    K.T. Atanassov

  3. Intelligent Systems Department, Bulgarian Academy of Sciences Inst. of Infor. & Communication Techn., Sofia, Bulgaria

    L. Doukovska

  4. Metalurgy, University of Chemical Technology and, Sofia, Bulgaria

    M. Hadjiski

  5. University of Library Studies and IT (ULSIT), Sofia, Bulgaria

    V. Jotsov

  6. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    J. Kacprzyk

  7. Knowledge Engineering and Discovery Research Institute, Auckland University of Technology, Auckland, New Zealand

    N. Kasabov

  8. Intelligent Systems Laboratory, Prof. Assen Zlatarov University Faculty of Technical Sciences, Bourgas, Bulgaria

    S. Sotirov

  9. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    E. Szmidt

  10. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    S. Zadrożny

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© 2015 Springer International Publishing Switzerland

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Cite this paper

Homenda, W., Pedrycz, W. (2015). Automatic Data Understanding. In: Angelov, P., et al. Intelligent Systems'2014. Advances in Intelligent Systems and Computing, vol 322. Springer, Cham. https://doi.org/10.1007/978-3-319-11313-5_21

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  • DOI: https://doi.org/10.1007/978-3-319-11313-5_21

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11312-8

  • Online ISBN: 978-3-319-11313-5

  • eBook Packages: EngineeringEngineering (R0)

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