[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content
Springer Nature Link
Log in

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))

  • 1519 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 143.50
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 179.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Axelrod, R.: Structure of Decision: The Cognitive Map of Political Elites. Princeton University Press (1976)

    Google Scholar 

  2. Homenda, W., Rybnik, M.: Querying in Spaces of Music Information. In: Tang, Y., Huynh, V.-N., Lawry, J. (eds.) IUKM 2011. LNCS, vol. 7027, pp. 243–255. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  3. Homenda, W.: Integrated syntactic and semantic data structuring as an abstraction of intelligent man-machine communication. In: Proc. of the ICAART - Int. Conf. on Agents and Artificial Intelligence, Porto, Portugal, pp. 324–330 (2009)

    Google Scholar 

  4. Homenda, W.: Towards automation of data understanding: integration of syntax and semantics into granular structures of data. In: Proc. Fourth Int. Conf. on Modeling Decisions for Artificial Intelligence, Kitakyushu, Japan, pp. 134–145 (2007)

    Google Scholar 

  5. Hopcroft, J.E., Ullman, J.D.: Introduction to Automata Theory, Languages and Computation. Addison-Wesley Co. (1979, 2001)

    Google Scholar 

  6. Kosko, B.: Fuzzy cognitive maps. Int. J. Man Machine Studies 7 (1986)

    Google Scholar 

  7. Pedrycz, W.: Granular Computing: An introduction. In: Proc. of the Joint 9th IFSA World Congress and 20th NAFIPS, Vancouver, Canada (2001)

    Google Scholar 

  8. Pedrycz, W., Bargiela, A.: Granular clustering: A granular signature of data. IEEE Trans. Syst. Man And Cybernetics - Part B 32(2), 212–224 (2002)

    Article  Google Scholar 

  9. Pedrycz, W.: The design of cognitive maps: A study in synergy of granular computing and evolutionary optimization. Expert Systems with Applications 37, 7288–7294 (2010)

    Article  Google Scholar 

  10. Stach, W., Kurgan, L., Pedrycz, W., Reformat, M.: Genetic learning of fuzzy cognitive maps. Fuzzy Sets and Systems 153, 371–401 (2005)

    Article  MATH  MathSciNet  Google Scholar 

  11. Tolman, E.C.: Cognitive maps in rats and men. Psychological Review 55(4), 189–208 (1948)

    Article  Google Scholar 

Download references

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
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Witold Pedrycz
    View author publications

    You can also search for this author in PubMed Google Scholar

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

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

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

Download citation

  • 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)

Publish with us

Policies and ethics

Search

Navigation