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International Conference on Flexible Query Answering Systems

FQAS 2019: Flexible Query Answering Systems pp 31–42Cite as

Indexing for Skyline Computation

A Comparison Study

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11529))

Abstract

Skyline queries enable satisfying search results by delivering best matches, even if the filter criteria are conflictive. Skyline algorithms are often classified into generic and index-based approaches. While there are uncountable papers on the comparison on generic algorithms, there exists only a few publications on the effect of index-based Skyline computation. In this paper, we give an overview on the most recent index-based Skyline algorithms BBS, ZSky, and SkyMap. We conducted comprehensive experiments on different data sets and present some really interesting outcomes.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science and Mathematics, University of Passau, Innstr. 33, 94032, Passau, Germany

    Markus Endres & Erich Glaser

Authors
  1. Markus Endres
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  2. Erich Glaser
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Corresponding author

Correspondence to Markus Endres .

Editor information

Editors and Affiliations

  1. University of Calabria, Rende, Italy

    Alfredo Cuzzocrea

  2. University of Calabria, Rende, Italy

    Sergio Greco

  3. Legind Technologies , Esbjerg , Denmark

    Henrik Legind Larsen

  4. University of Calabria, Rende, Italy

    Domenico Saccà

  5. Roskilde University, Roskilde, Denmark

    Troels Andreasen

  6. Roskilde University, Roskilde, Denmark

    Henning Christiansen

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Endres, M., Glaser, E. (2019). Indexing for Skyline Computation. In: Cuzzocrea, A., Greco, S., Larsen, H., Saccà, D., Andreasen, T., Christiansen, H. (eds) Flexible Query Answering Systems. FQAS 2019. Lecture Notes in Computer Science(), vol 11529. Springer, Cham. https://doi.org/10.1007/978-3-030-27629-4_6

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  • DOI: https://doi.org/10.1007/978-3-030-27629-4_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-27628-7

  • Online ISBN: 978-3-030-27629-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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