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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 2000: Knowledge Discovery and Data Mining. Current Issues and New Applications pp 380–383Cite as

Information Granules for Spatial Reasoning

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1805))

Abstract

The aim of the paper is to present an outline of granular computing framework for spatial reasoning. In our previous papers we have discussed basic notions related to granular computing, namely the information granule syntax and semantics as well as the inclusion and closeness (similarity) relations of granules. Different information sources (units, agents) are equipped with two kinds of operations on information granules: operations possessed by agents transforming tuples of information granules into new granules and approximation operations for computing by agents information granule approximations delivered by other agents. More complex granules are constructed by means of these operations from some input information granules.

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References

  1. Düntsch I., Wang H., McCloskey S.: Relations Algebras in Qualitative Spatial Reasoning, Fundamenta Informaticae 39(3), 1999, pp. 229–248.

    MathSciNet  Google Scholar 

  2. Escrig M.T., Toledo F.: Qualitative Spatial Reasoning: Theory and Practice, IOS Press, Amsterdam, 1998.

    MATH  Google Scholar 

  3. Pawlak Z.: Rough Sets. Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht, 1991.

    MATH  Google Scholar 

  4. Polkowski L., Skowron A.: Towards Adaptive Calculus of Granules, In: Kacprzyk J. (Eds.): Computing with Words in Information/Intelligent Systems Physica-Verlag, Heidelberg, 1999 [12], vol.1, pp. 201–227.

    Google Scholar 

  5. Roddick J.F., Spiliopoulou M.: A Bibliography of Temporal, Spatial, and Temporal Data Mining Research, Newsletter of the Special Interest Group (SIG) on Knowledge Discovery & Data Mining 1(1), pp. 34–38.

    Google Scholar 

  6. Skowron A., Stepaniuk J.: Towards Discovery of Information Granules, Lecture Notes in Artificial Intelligence 1704, Springer-Verlag, 1999, pp. 542–547.

    Google Scholar 

  7. Skowron A., Stepaniuk J.: Information Granules in Distributed Environment, Lecture Notes in Artificial Intelligence 1711, Springer-Verlag, 1999, pp. 357–365.

    Google Scholar 

  8. Skowron A., Stepaniuk J., Tsumoto S.: Information Granules for Spatial Reasoning, Bulletin of International Rough Set Society 3/4 1999, pp. 147–154.

    Google Scholar 

  9. Sogo T., Ishiguro H., Ishida T.: Acquisition of Qualitative Spatial Representation by Visual Observation, IJCAI 1999, pp. 1054–1060.

    Google Scholar 

  10. WWW SPACENET page: http://agora.scs.leeds.ac.uk/spacenet/.

  11. Zadeh L.A.: Fuzzy Logic = Computing with Words, IEEE Trans. on Fuzzy Systems Vol. 4, 1996, pp. 103–111.

    Article  Google Scholar 

  12. Zadeh L.A., Kacprzyk J. (Eds.): Computing with Words in Information/Intelligent Systems vol.1–2, Physica-Verlag, Heidelberg, 1999.

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

  2. Institute of Computer Science, Bialystok University of Technology, Wiejska 45A, 15-351, Bialystok, Poland

    Jaroslaw Stepaniuk

  3. Department of Medical Informatics, Shimane Medical University, 89-1 Enya-cho, Izumo-city, Shimane, 693-8501, Japan

    Shusaku Tsumoto

Authors
  1. Andrzej Skowron
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  2. Jaroslaw Stepaniuk
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  3. Shusaku Tsumoto
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Editor information

Editors and Affiliations

  1. Graduate School of Systems Management, Universiy of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012, Japan

    Takao Terano

  2. Department of Computer Science and Engineering, Arizona State University, P.O. Box 875 406, Tempe, AZ, 85287-5406

    Huan Liu

  3. Department of Computer Science, National Tsing Hua University, Hsinchu, 300, Taiwan ROC

    Arbee L. P. Chen

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© 2000 Springer-Verlag Berlin Heidelberg

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Skowron, A., Stepaniuk, J., Tsumoto, S. (2000). Information Granules for Spatial Reasoning. In: Terano, T., Liu, H., Chen, A.L.P. (eds) Knowledge Discovery and Data Mining. Current Issues and New Applications. PAKDD 2000. Lecture Notes in Computer Science(), vol 1805. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45571-X_45

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  • DOI: https://doi.org/10.1007/3-540-45571-X_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67382-8

  • Online ISBN: 978-3-540-45571-4

  • eBook Packages: Springer Book Archive

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