• Ming HuaEmail author
  • Jian Pei
Part of the Advances in Database Systems book series (ADBS, volume 42)


Uncertain data becomes important and prevalent in many critical applications, such as sensor networks, location-based services, and health-informatics. Due to the importance of those applications and increasing amounts of uncertain data, effective and efficient uncertain data analysis has received more and more attentions from the research community. In this book, we study ranking queries on uncertain data. Particularly, we develop three extended uncertain data models based on the state-of-the-art uncertain data models and propose five novel ranking problems on uncertain data.


Uncertain Data Skyline Query Membership Probability Typicality Query Path Query 
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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