• DocumentCode
    3193777
  • Title

    Max-count aggregation estimation for moving points

  • Author

    Chen, Yi ; Revesz, Peter

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE, USA
  • fYear
    2004
  • fDate
    1-3 July 2004
  • Firstpage
    103
  • Lastpage
    108
  • Abstract
    Many interesting problems regarding moving objects can be reduced to the following question: Given a set S of moving points on a line and two other movings points A and B on the same line, what is the maximum number of points in S that will be simultaneously between A and B within a time interval (t1, t2)? We propose an algorithm that can estimate the answer for arbitrary A and B and any fixed S in a chosen constant time. We show that the error rate of the estimation is related to this chosen constant and some other parameters of the input data. Our experimental results show that high accuracy estimation can be achieved when S has a large number of points and A and B are not too close to each other.
  • Keywords
    database theory; estimation theory; query processing; temporal databases; max-count aggregation estimation; moving objects; moving points; time interval; Aggregates; Computer science; Error analysis; Histograms; Meteorology; Relational databases; Transportation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Temporal Representation and Reasoning, 2004. TIME 2004. Proceedings. 11th International Symposium on
  • ISSN
    1550-1311
  • Print_ISBN
    0-7695-2155-X
  • Type

    conf

  • DOI
    10.1109/TIME.2004.1314426
  • Filename
    1314426