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Predictive Skyline Queries for Moving Objects

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Database Systems for Advanced Applications (DASFAA 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5463))

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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.

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References

  1. Borzsonyi, S., Kossmann, D., Stocker, K.: The skyline operator. In: ICDE, Heidelberg, Germany, pp. 421–430 (April 2001)

    Google Scholar 

  2. Jensen, C.S., Lin, D., Ooi, B.C.: Query and update efficient B+-Tree based indexing of moving objects. In: VLDB, Toronto, Ontario, Canada, pp. 768–779 (August 2004)

    Google Scholar 

  3. Leutenegger, S.T., Edgington, J.M., Lopez, M.A.: Str: A simple and efficient algorithm for r-tree packing. In: ICDE, Birmingham U.K, pp. 497–506 (April 1997)

    Google Scholar 

  4. Papadias, D., Tao, Y., Fu, G., Seeger, B.: Progressive skyline computation in database systems. ACM Trans. Database Syst(TODS) 30(11), 41–82 (2005)

    Article  Google Scholar 

  5. Saltenis, S., Jensen, C.S., Leutenegger, S.T., Lopez, M.A.: Indexing the positions of continuously moving objects. In: SIGMOD Conference, Dallas, Texas, USA, pp. 331–342 (May 2000)

    Google Scholar 

  6. Tao, Y., Papadias, D., Sun, J.: The TPR*-Tree: An optimized spatio-temporal access method for predictive queries. In: VLDB, Berlin, Germany, pp. 790–801 (September 2003)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Chen, N., Shou, L., Chen, G., Gao, Y., Dong, J. (2009). Predictive Skyline Queries for Moving Objects. In: Zhou, X., Yokota, H., Deng, K., Liu, Q. (eds) Database Systems for Advanced Applications. DASFAA 2009. Lecture Notes in Computer Science, vol 5463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00887-0_23

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  • DOI: https://doi.org/10.1007/978-3-642-00887-0_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00886-3

  • Online ISBN: 978-3-642-00887-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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