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Recent Advances in Temporal Databases pp 194–213Cite as

On Temporal Grouping

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Part of the book series: Workshops in Computing ((WORKSHOPS COMP.))

Abstract

In this paper we address some of the concerns that have been expressed regarding the practicality of the temporally-grouped, or history-oriented, data modeling approach. Specifically, we address the concern over the lack of an algebra for this paradigm, by presenting such an algebra. In addition, we examine the semantics of two notions, coalescing and restructuring, from the perspective of a comparison between the temporally grouped and temporally ungrouped paradigms.

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References

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Author information

Authors and Affiliations

  1. Information Systems Department, Stern School of Business, New York, NY, USA

    James Clifford & Alexander Tuzhilin

  2. Statistics and Computer Information Systems, Baruch College, New York, NY, USA

    Albert Croker

  3. Dipartimento di Elettronica Informatica e Sistemistica, Universitá di Bologna, Bologna, Italy

    Fabio Grandi

Authors
  1. James Clifford
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  2. Albert Croker
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  3. Fabio Grandi
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  4. Alexander Tuzhilin
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Editor information

Editors and Affiliations

  1. Leonard N. Stern School of Business, Information Systems Department, New York University, 44 West 4th Street, Suite 9-170, 10012-1126, New York, NY, USA

    James Clifford PhD  & Alexander Tuzhilin PhD  & 

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© 1995 British Computer Society

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Cite this paper

Clifford, J., Croker, A., Grandi, F., Tuzhilin, A. (1995). On Temporal Grouping. In: Clifford, J., Tuzhilin, A. (eds) Recent Advances in Temporal Databases. Workshops in Computing. Springer, London. https://doi.org/10.1007/978-1-4471-3033-8_11

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  • DOI: https://doi.org/10.1007/978-1-4471-3033-8_11

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-19945-8

  • Online ISBN: 978-1-4471-3033-8

  • eBook Packages: Springer Book Archive

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