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» Similarity-aware query processing in sensor networks
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ICDE
2004
IEEE
148views Database» more  ICDE 2004»
16 years 2 months ago
Approximate Selection Queries over Imprecise Data
We examine the problem of evaluating selection queries over imprecisely represented objects. Such objects are used either because they are much smaller in size than the precise on...
Iosif Lazaridis, Sharad Mehrotra
100
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SSD
2007
Springer
124views Database» more  SSD 2007»
15 years 6 months ago
Querying Objects Modeled by Arbitrary Probability Distributions
In many modern applications such as biometric identification systems, sensor networks, medical imaging, geology, and multimedia databases, the data objects are not described exact...
Christian Böhm, Peter Kunath, Alexey Pryakhin...
123
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SIGMOD
2003
ACM
145views Database» more  SIGMOD 2003»
16 years 26 days ago
Evaluating Probabilistic Queries over Imprecise Data
Many applications employ sensors for monitoring entities such as temperature and wind speed. A centralized database tracks these entities to enable query processing. Due to contin...
Reynold Cheng, Dmitri V. Kalashnikov, Sunil Prabha...
EWSN
2004
Springer
16 years 9 days ago
ACE: An Emergent Algorithm for Highly Uniform Cluster Formation
The efficient subdivision of a sensor network into uniform, mostly non-overlapping clusters of physically close nodes is an important building block in the design of efficient uppe...
Haowen Chan, Adrian Perrig
116
Voted
PVLDB
2008
108views more  PVLDB 2008»
15 years 5 days ago
Sliding-window top-k queries on uncertain streams
Query processing on uncertain data streams has attracted a lot of attentions lately, due to the imprecise nature in the data generated from a variety of streaming applications, su...
Cheqing Jin, Ke Yi, Lei Chen 0002, Jeffrey Xu Yu, ...