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» Ad-hoc Top-k Query Answering for Data Streams
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PODS
2010
ACM
232views Database» more  PODS 2010»
15 years 4 months ago
Optimal sampling from distributed streams
A fundamental problem in data management is to draw a sample of a large data set, for approximate query answering, selectivity estimation, and query planning. With large, streamin...
Graham Cormode, S. Muthukrishnan, Ke Yi, Qin Zhang
MOBISYS
2007
ACM
15 years 11 months ago
A time-and-value centric provenance model and architecture for medical event streams
Provenance becomes a critical requirement for healthcare IT infrastructures, especially when pervasive biomedical sensors act as a source of raw medical streams for large-scale, a...
Min Wang, Marion Blount, John Davis, Archan Misra,...
SSDBM
2006
IEEE
111views Database» more  SSDBM 2006»
15 years 5 months ago
Efficient Data Harvesting for Tracing Phenomena in Sensor Networks
Many publisWsubscribe systems have been built using wireless sensor networks, WSNs, deployedfor real-world environmentaldata collection, securitymonitoring,and object tracking. Ho...
Adesola Omotayo, Moustafa A. Hammad, Ken Barker
EDBT
2008
ACM
103views Database» more  EDBT 2008»
15 years 12 months ago
A stratified approach to progressive approximate joins
Users often do not require a complete answer to their query but rather only a sample. They expect the sample to be either the largest possible or the most representative (or both)...
Wee Hyong Tok, Stéphane Bressan, Mong-Li Le...
MOBICOM
2010
ACM
14 years 12 months ago
Differential forms for target tracking and aggregate queries in distributed networks
Consider mobile targets moving in a plane and their movements being monitored by a network such as a field of sensors. We develop distributed algorithms for in-network tracking an...
Rik Sarkar, Jie Gao