Probabilistic Threshold Range Aggregate Query Processing over Uncertain Data

  • Authors:
  • Shuxiang Yang;Wenjie Zhang;Ying Zhang;Xuemin Lin

  • Affiliations:
  • The University of New South Wales, Australia;The University of New South Wales/NICTA, Australia;The University of New South Wales, Australia;Dalian Maritime University, China & UNSW / NICTA, Australia

  • Venue:
  • APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management
  • Year:
  • 2009

Quantified Score

Hi-index 0.03

Visualization

Abstract

Large amount of uncertain data is inherent in many novel and important applications such as sensor data analysis and mobile data management. A probabilistic threshold range aggregate (PTRA) query retrieves summarized information about the uncertain objects satisfying a range query, with respect to a given probability threshold. This paper is the first one to address this important type of query. We develop a new index structure aU-tree and propose an exact querying algorithm based on aU-tree. For the pursue of efficiency, two techniques SingleSample and DoubleSample are developed. Both techniques provide approximate answers to a PTRA query with accuracy guarantee. Experimental study demonstrates the efficiency and effectiveness of our proposed methods.