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Extracting Patterns Using Information Granules: A Brief Introduction

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New Frontiers in Artificial Intelligence (JSAI 2001)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2253))

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Abstract

The paper realizes a step in developing a foundation for approximate reasoning from experimental data to conclusions in natural language. Granule decomposition strategies based on background knowledge are outlined.

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References

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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, Białystok University of Technology, Wiejska 45A, 15-351, Bialystok, Poland

    Jarosław Stepaniuk

  3. Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, MB, Canada

    James F. Peters

Authors
  1. Andrzej Skowron
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  2. Jarosław Stepaniuk
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  3. James F. Peters
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Editor information

Editors and Affiliations

  1. Graduate School of Business Science, The University of Tsukuba, Tokyo

    Takao Terano  & Yukio Ohsawa  & 

  2. School of Engineering, The University of Tokyo, Tokyo

    Toyoaki Nishida

  3. Dept.of Computer Science, National Defense Academy, Japan

    Akira Namatame

  4. School of Medicines, Shimane Medical University, Japan

    Syusaku Tsumoto

  5. The Institute of Scientific and Industrial Research, Osaka University, Osaka

    Takashi Washio

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© 2001 Springer-Verlag Berlin Heidelberg

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Skowron, A., Stepaniuk, J., Peters, J.F. (2001). Extracting Patterns Using Information Granules: A Brief Introduction. In: Terano, T., Ohsawa, Y., Nishida, T., Namatame, A., Tsumoto, S., Washio, T. (eds) New Frontiers in Artificial Intelligence. JSAI 2001. Lecture Notes in Computer Science(), vol 2253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45548-5_46

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  • DOI: https://doi.org/10.1007/3-540-45548-5_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43070-4

  • Online ISBN: 978-3-540-45548-6

  • eBook Packages: Springer Book Archive

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