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Processing Framework for Ranking and Skyline Queries

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Advanced Query Processing

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 36))

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Abstract

In the previous chapter, the need to support ranking and skyline queries for multi-criteria decision-making for given user preferences was motivated. We now survey existing algorithms for each query and show a ‘meta-algorithm’ framework for each query. The goal of this chapter is to show that how this framework and cost model enable us to (a) generalize existing algorithms and (b) observe important principles not observed from individual algorithms.

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Author information

Authors and Affiliations

  1. POSTECH, Pohang, Korea

    Seung-won Hwang

Authors
  1. Seung-won Hwang
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Correspondence to Seung-won Hwang .

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Editors and Affiliations

  1. Dipto. Informatica e Science, dell'Informazione, Università Genova, Via Dodecaneso 35, Genova, 16146, Italy

    Barbara Catania

  2. , School of Electrical and Information, University of South Australia, Mawson Lakes Campus, Adelaide, SA 5095, South Australia, Australia

    Lakhmi C. Jain

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Hwang, Sw. (2013). Processing Framework for Ranking and Skyline Queries. In: Catania, B., Jain, L. (eds) Advanced Query Processing. Intelligent Systems Reference Library, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28323-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-28323-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28322-2

  • Online ISBN: 978-3-642-28323-9

  • eBook Packages: EngineeringEngineering (R0)

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