On Possibilistic Skyline Queries

  • Patrick Bosc
  • Allel Hadjali
  • Olivier Pivert
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7022)

Abstract

This paper deals with Skyline queries in the context of possilistic databases, where uncertain attribute values are represented by possibility distributions. In this framework, Skyline queries aim at computing the extent to which any tuple from a given relation is possibly/certainly not dominated by any other tuple from that relation. Beside the interpretation of possibilistic Skyline queries, a basic algorithm suited to their evaluation is provided.

Keywords

Relational Database Possibility Distribution Skyline Query Possibility Theory Probabilistic Database 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Patrick Bosc
    • 1
  • Allel Hadjali
    • 1
  • Olivier Pivert
    • 1
  1. 1.Irisa – Enssat, University of Rennes 1Lannion CedexFrance

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