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BMCBI
2008
114views more  BMCBI 2008»
15 years 4 months ago
Visualization of large influenza virus sequence datasets using adaptively aggregated trees with sampling-based subscale represen
Background: With the amount of influenza genome sequence data growing rapidly, researchers need machine assistance in selecting datasets and exploring the data. Enhanced visualiza...
Leonid Zaslavsky, Yiming Bao, Tatiana A. Tatusova
ICCV
2007
IEEE
16 years 6 months ago
Adaptive enhancement and noise reduction in very low light-level video
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petri...
SDM
2009
SIAM
191views Data Mining» more  SDM 2009»
16 years 1 months ago
Adaptive Concept Drift Detection.
An established method to detect concept drift in data streams is to perform statistical hypothesis testing on the multivariate data in the stream. Statistical decision theory off...
Anton Dries, Ulrich Rückert
ICDCSW
2005
IEEE
15 years 10 months ago
Adaptive Real-Time Anomaly Detection with Improved Index and Ability to Forget
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
Kalle Burbeck, Simin Nadjm-Tehrani
ICWE
2010
Springer
15 years 3 months ago
Association-Rules-Based Recommender System for Personalization in Adaptive Web-Based Applications
Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
Daniel Mican, Nicolae Tomai