Predictive Skyline Queries for Moving Objects

  • Authors:
  • Nan Chen;Lidan Shou;Gang Chen;Yunjun Gao;Jinxiang Dong

  • Affiliations:
  • College of Computer Science, Zhejiang University, China;College of Computer Science, Zhejiang University, China;College of Computer Science, Zhejiang University, China;School of Information Systems, Singapore Management University, Singapore;College of Computer Science, Zhejiang University, China

  • Venue:
  • DASFAA '09 Proceedings of the 14th International Conference on Database Systems for Advanced Applications
  • Year:
  • 2009

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Abstract

The existing works on skyline queries mainly assume static datasets. However, querying skylines on a database of moving objects is of equal importance, if not more. We propose a framework for processing predictive skyline queries for moving objects which also contain other dynamic and static attributes. We present two schemes, namely RBBS and TPBBS, to answer predictive skyline queries. Experimental results show that TPBBS considerably outperforms RBBS.