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