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NIPS
2004
13 years 6 months ago
Active Learning for Anomaly and Rare-Category Detection
We introduce a novel active-learning scenario in which a user wants to work with a learning algorithm to identify useful anomalies. These are distinguished from the traditional st...
Dan Pelleg, Andrew W. Moore
PERCOM
2007
ACM
14 years 4 months ago
Macro Programming through Bayesian Networks: Distributed Inference and Anomaly Detection
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...
Marco Mamei, Radhika Nagpal
INFOCOM
2010
IEEE
13 years 3 months ago
URCA: Pulling out Anomalies by their Root Causes
—Traffic anomaly detection has received a lot of attention over recent years, but understanding the nature of these anomalies and identifying the flows involved is still a manu...
Fernando Silveira, Christophe Diot
DSN
2008
IEEE
13 years 11 months ago
Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change
: Automated tools for understanding application behavior and its changes during the application life-cycle are essential for many performance analysis and debugging tasks. Applicat...
Ludmila Cherkasova, Kivanc M. Ozonat, Ningfang Mi,...
INFOCOM
2009
IEEE
13 years 11 months ago
Network Performance Anomaly Detection and Localization
Abstract—Detecting the occurrence and location of performance anomalies (e.g., high jitter or loss events) is critical to ensuring the effective operation of network infrastructu...
Paul Barford, Nick G. Duffield, Amos Ron, Joel Som...