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» Distributed data classification in sensor networks
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ICML
2002
IEEE
14 years 9 months ago
Exact model averaging with naive Bayesian classifiers
The naive classifier is a well-established mathematical model whose simplicity, speed and accuracy have made it a popular choice for classification in AI and engineering. In this ...
Denver Dash, Gregory F. Cooper
DAIS
2009
13 years 9 months ago
Fault-Tolerant Aggregation by Flow Updating
Data aggregation plays an important role in the design of scalable systems, allowing the determination of meaningful system-wide properties to direct the execution of distributed a...
Paulo Jesus, Carlos Baquero, Paulo Sérgio A...
ICDT
2010
ACM
219views Database» more  ICDT 2010»
14 years 5 months ago
Aggregate Queries for Discrete and Continuous Probabilistic XML
Sources of data uncertainty and imprecision are numerous. A way to handle this uncertainty is to associate probabilistic annotations to data. Many such probabilistic database mode...
Serge Abiteboul, T.-H Hubert Chan, Evgeny Kharlamo...
ICDE
2005
IEEE
128views Database» more  ICDE 2005»
14 years 9 months ago
Exploiting Correlated Attributes in Acquisitional Query Processing
Sensor networks and other distributed information systems (such as the Web) must frequently access data that has a high per-attribute acquisition cost, in terms of energy, latency...
Amol Deshpande, Carlos Guestrin, Wei Hong, Samuel ...
ACSAC
2007
IEEE
14 years 2 months ago
Countering False Accusations and Collusion in the Detection of In-Band Wormholes
Cooperative intrusion detection techniques for MANETs utilize ordinary computing hosts as network intrusion sensors. If compromised, these hosts may inject bogus data into the int...
Daniel Sterne, Geoffrey Lawler, Richard Gopaul, Br...