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Computer Assisted Discovery of First Principle Equations from Numeric Data

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Methodologies for Knowledge Discovery and Data Mining (PAKDD 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1574))

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References

  1. T. Washio and H. Motoda. Discovering Admissible Models of Complex Systems Based on Scale-Types and Identity Constraints. In Proc. of IJCAI97, pp. 810–817, 1997.

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  2. T. Washio and H. Motoda. Discovering Admissible Simultaneous Equations of Large Scale Systems. In Proc. of AAAI98, pp. 189–196, 1998.

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  3. T. Washio and H. Motoda. Development of SDS2: Smart Discovery System for Simultaneous Equation Systems. In Discovery Science, Lecture Notes in Artificial Intelligence 1532, Springer, pp. 352–363, 1998.

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Author information

Authors and Affiliations

  1. Institute of Scientific and Industrial Research, Osaka University, Mihogaoka, Ibaraki, Osaka, 567-0047, Japan

    Hiroshi Motoda

Authors
  1. Hiroshi Motoda
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Systems Engineering, Yamaguchi University, Tokiwa-Dai, 2557, Ube, 755, Japan

    Ning Zhong

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Lizhu Zhou

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© 1999 Springer-Verlag Berlin Heidelberg

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Motoda, H. (1999). Computer Assisted Discovery of First Principle Equations from Numeric Data. In: Zhong, N., Zhou, L. (eds) Methodologies for Knowledge Discovery and Data Mining. PAKDD 1999. Lecture Notes in Computer Science(), vol 1574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48912-6_2

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  • DOI: https://doi.org/10.1007/3-540-48912-6_2

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65866-5

  • Online ISBN: 978-3-540-48912-2

  • eBook Packages: Springer Book Archive

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