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Incorporating Personal Database Unification by Granular Computing

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New Directions in Rough Sets, Data Mining, and Granular-Soft Computing (RSFDGrC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1711))

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Abstract

As the end-user computing grows up, the volume of user defined information are increasing. Incorporating user defined information is a core component of the knowledge management. In this paper, the author proposed a method incorporates personal database. The incorporate method is based on the granular computing theory and the relational database theory. At first, anomalies on personal database is described. In the next section, theoretical background of the method and the proposed incorporate method are described.

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References

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Author information

Authors and Affiliations

  1. The Japan Research Institute, Limited, Information and Mathematical Dept., Ichibancyo 16, Chiyoda-ku, Tokyo, 102-0082, Japan

    Yoshitsugu Kakemoto

Authors
  1. Yoshitsugu Kakemoto
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Editor information

Editors and Affiliations

  1. The International WIC Institute, Beijing University of Technology, China

    Ning Zhong

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

    Andrzej Skowron

  3. Professor Emeritus, University of Tokyo,  

    Setsuo Ohsuga

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© 1999 Springer-Verlag Berlin Heidelberg

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Kakemoto, Y. (1999). Incorporating Personal Database Unification by Granular Computing. In: Zhong, N., Skowron, A., Ohsuga, S. (eds) New Directions in Rough Sets, Data Mining, and Granular-Soft Computing. RSFDGrC 1999. Lecture Notes in Computer Science(), vol 1711. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-48061-7_47

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  • DOI: https://doi.org/10.1007/978-3-540-48061-7_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66645-5

  • Online ISBN: 978-3-540-48061-7

  • eBook Packages: Springer Book Archive

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