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Temporal Indexing with Multidimensional File Structures

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Database and Expert Systems Applications (DEXA 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1677))

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Abstract

Multidimensional file structures designed for storing point data can be used to store spatial objects if the objects can be transformed into n-dimensional points. We adapt this transformation technique to design a flexible indexing technique for temporal databases. This approach can be used to support valid-time, transaction-time, and bitemporal indices. The evaluation of various kinds of temporal selections on such indices is discussed, and we present an experimental comparison with an indexing technique for valid-time databases.

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Author information

Authors and Affiliations

  1. FB15, Institut für Informatik, Westfälische Wilhelms-Universität, Einsteinstr. 62, D-48149, Münster, Germany

    Ludger Becker, Andreas Voigtmann & Klaus H. Hinrichs

Authors
  1. Ludger Becker
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  2. Andreas Voigtmann
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  3. Klaus H. Hinrichs
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Liverpool, P.O. Box 147, Liverpool, L49 3BX, UK

    Trevor J.M. Bench-Capon

  2. Department of Systems and Computers, University of Florence, Via S. Marta, 3, I-50139, Florence, Italy

    Giovanni Soda

  3. IFS, Technical University of Vienna, Resselgasse 3, A-1040, Vienna, Austria

    A Min Tjoa

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© 1999 Springer-Verlag Berlin Heidelberg

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Becker, L., Voigtmann, A., Hinrichs, K.H. (1999). Temporal Indexing with Multidimensional File Structures. In: Bench-Capon, T.J., Soda, G., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1999. Lecture Notes in Computer Science, vol 1677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48309-8_97

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  • DOI: https://doi.org/10.1007/3-540-48309-8_97

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66448-2

  • Online ISBN: 978-3-540-48309-0

  • eBook Packages: Springer Book Archive

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