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ICDE
2006
IEEE
134views Database» more  ICDE 2006»
15 years 4 months ago
Processing High-Volume Stream Queries on a Supercomputer
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
Erik Zeitler, Tore Risch
GLOBECOM
2010
IEEE
14 years 8 months ago
Cognitive Network Inference through Bayesian Network Analysis
Cognitive networking deals with applying cognition to the entire network protocol stack for achieving stack-wide as well as network-wide performance goals, unlike cognitive radios ...
Giorgio Quer, Hemanth Meenakshisundaram, Tamma Bhe...
VLDB
2002
ACM
137views Database» more  VLDB 2002»
14 years 9 months ago
Comparing Data Streams Using Hamming Norms (How to Zero In)
Massive data streams are now fundamental to many data processing applications. For example, Internet routers produce large scale diagnostic data streams. Such streams are rarely s...
Graham Cormode, Mayur Datar, Piotr Indyk, S. Muthu...
GI
2009
Springer
15 years 1 months ago
Parallelised Gaussian Mixture Filtering for Vehicular Traffic Flow Estimation
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
Lyudmila Mihaylova, Amadou Gning, Viktor Doychinov...
ICANN
2009
Springer
15 years 2 months ago
Constrained Learning Vector Quantization or Relaxed k-Separability
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
Marek Grochowski, Wlodzislaw Duch