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» Anomaly Detection in Streaming Sensor Data
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KDD
1998
ACM
181views Data Mining» more  KDD 1998»
14 years 2 months ago
Approaches to Online Learning and Concept Drift for User Identification in Computer Security
The task in the computer security domain of anomaly detection is to characterize the behaviors of a computer user (the `valid', or `normal' user) so that unusual occurre...
Terran Lane, Carla E. Brodley
LWA
2008
13 years 11 months ago
Towards Burst Detection for Non-Stationary Stream Data
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
Daniel Klan, Marcel Karnstedt, Christian Pöli...
MLDM
2009
Springer
14 years 4 months ago
Relational Frequent Patterns Mining for Novelty Detection from Data Streams
We face the problem of novelty detection from stream data, that is, the identification of new or unknown situations in an ordered sequence of objects which arrive on-line, at cons...
Michelangelo Ceci, Annalisa Appice, Corrado Loglis...
CCS
2009
ACM
14 years 4 months ago
Keep your friends close: the necessity for updating an anomaly sensor with legitimate environment changes
Large-scale distributed systems have dense, complex code-bases that are assumed to perform multiple and inter-dependent tasks while user interaction is present. The way users inte...
Angelos Stavrou, Gabriela F. Cretu-Ciocarlie, Mich...
DATAMINE
2006
164views more  DATAMINE 2006»
13 years 9 months ago
Fast Distributed Outlier Detection in Mixed-Attribute Data Sets
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...