Efficiently Answering Probabilistic Threshold Top-k Queries on Uncertain Data

  • Authors:
  • Ming Hua;Jian Pei;Wenjie Zhang;Xuemin Lin

  • Affiliations:
  • Simon Fraser University, Canada. mhua@cs.sfu.ca;Simon Fraser University, Canada. jpei@cs.sfu.ca;The University of New South Wales&NICTA, Australia. zhangw@cse.unsw.edu.au;The University of New South Wales&NICTA, Australia. lxue@cse.unsw.edu.au

  • Venue:
  • ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
  • Year:
  • 2008

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Abstract

In this paper, we propose a novel type of probabilistic threshold top-k queries on uncertain data, and give an exact algorithm. More details can be found in [4].