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
Link To Document :
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