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Probabilistic Ranking Queries on Uncertain Data

Chapter
Part of the Advances in Database Systems book series (ADBS, volume 42)

Abstract

In this chapter, we formulate the probabilistic ranking queries on uncertain data. We first introduce two basic uncertain data models and basic probabilistic ranking queries. Then, we discuss three extended uncertain data models that suit different application scenarios. Ranking queries on the extended uncertain data models are also developed.

Keywords

Probability Threshold Simple Typicality Uncertain Data Probability Mass Function Membership Probability 
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 Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Facebook Inc.Palo Alto CaliforniaUSA
  2. 2.School of Computing ScienceSimon Fraser UniversityBurnaby BritishCanada

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