• DocumentCode
    3276695
  • Title

    Bloom filters for data aggregation and discovery: a hierarchical clustering approach

  • Author

    Hebden, Peter ; Pearce, Adrian R.

  • Author_Institution
    NICTA Victoria Laboratory Department of Computer Science and Software Engineering, University of Melbourne Melbourne, Australia, phebden@cs.mu.oz.au
  • fYear
    2005
  • fDate
    5-8 Dec. 2005
  • Firstpage
    175
  • Lastpage
    180
  • Abstract
    This work addresses the data aggregation problem by tightly integrating the processes of building and maintaining distributed data structures while optimally serving queries over the network. Importantly, the approach goes beyond existing clustering techniques by addressing the incremental problem at the same time as the query problem.
  • Keywords
    Buildings; Computer science; Costs; Data structures; Information filtering; Information filters; Internet; Laboratories; Software engineering; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing Conference, 2005. Proceedings of the 2005 International Conference on
  • Print_ISBN
    0-7803-9399-6
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2005.1595575
  • Filename
    1595575