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Numerical Aspects in the Data Model of Conceptual Information Systems

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Advances in Database Technologies (ER 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1552))

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Abstract

While most data analysis and decision support tools use numerical aspects of the data, Conceptual Information Systems focus on their conceptual structure. This paper discusses how both approaches can be combined.

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Author information

Authors and Affiliations

  1. Fachbereich Mathematik, Technische Universität Darmstadt, Schloßgartenstr. 7, D-64289, Darmstadt, Germany

    Gerd Stumme

  2. Fachbereich Mathematik und Naturwissenschaften, Fachhochschule Darmstadt, Schöfferstr. 3, D-64295, Darmstadt, Germany

    Karl Erich Wolff

Authors
  1. Gerd Stumme
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  2. Karl Erich Wolff
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Editor information

Editors and Affiliations

  1. Graduate School of Informatics, Dept. of Social Informatics, Kyoto University, 606-8501, Yoshida Sakyo Kyoto, Japan

    Yahiko Kambayashi

  2. Dept. of Computer Science Clear Water Bay, Hong Kong University of Science and Technology, Hong Kong, China

    Dik Lun Lee

  3. School of Applied Science, Nanyang Technological University, N4-2A-12, Nanyang Avenue, 639798, Singapore

    Ee-Peng Lim

  4. School of Computer and Information Science The Levels Campus, University of South Australia, Mawson Lakes, 5095, S.A., Australia

    Mukesh Kumar Mohania

  5. Faculty of Science, Dept. of Information Sciences, Ochanomizu University, 2-1-1 Otsuka, Bunkyo-ku, 112-8610, Tokyo, Japan

    Yoshifumi Masunaga

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© 1999 Springer-Verlag Berlin Heidelberg

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Stumme, G., Wolff, K.E. (1999). Numerical Aspects in the Data Model of Conceptual Information Systems. In: Kambayashi, Y., Lee, D.L., Lim, EP., Mohania, M.K., Masunaga, Y. (eds) Advances in Database Technologies. ER 1998. Lecture Notes in Computer Science, vol 1552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49121-7_10

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  • DOI: https://doi.org/10.1007/978-3-540-49121-7_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65690-6

  • Online ISBN: 978-3-540-49121-7

  • eBook Packages: Springer Book Archive

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