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A Decathlon in Multidimensional Modeling: Open Issues and Some Solutions

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Data Warehousing and Knowledge Discovery (DaWaK 2002)

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Abstract

The concept of multidimensional modeling has proven extremely successful in the area of Online Analytical Processing (OLAP) as one of many applications running on top of a data warehouse installation. Although many different modeling techniques expressed in extended multidimensional data models were proposed in the recent past, we feel that many hot issues are not properly reflected. In this paper we address ten common problems reaching from defects within dimensional structures over multidimensional structures to new analytical requirements and more.

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Author information

Authors and Affiliations

  1. University of Erlangen-Nuremberg (Database Systems), Martensstr. 3, D-91058, Erlangen, Germany

    W. Hümmer, W. Lehner, A. Bauer & L. Schlesinger

Authors
  1. W. Hümmer
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  2. W. Lehner
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  3. A. Bauer
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  4. L. Schlesinger
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Editor information

Editors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, 606-8501, Kyoto, Japan

    Yahiko Kambayashi

  2. Institute for Computer Science and Business Informatics, University of Vienna, Liebiggasse 4, 1010, Vienna, Austria

    Werner Winiwarter

  3. Center for Spatial Information Science (CSIS), University of Tokyo, 4-6-1, Komaba, Meguro-ku, 153-8904, Tokyo, Japan

    Masatoshi Arikawa

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© 2002 Springer-Verlag Berlin Heidelberg

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Hümmer, W., Lehner, W., Bauer, A., Schlesinger, L. (2002). A Decathlon in Multidimensional Modeling: Open Issues and Some Solutions. In: Kambayashi, Y., Winiwarter, W., Arikawa, M. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2002. Lecture Notes in Computer Science, vol 2454. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46145-0_27

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  • DOI: https://doi.org/10.1007/3-540-46145-0_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44123-6

  • Online ISBN: 978-3-540-46145-6

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