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MLDM
2009
Springer
14 years 2 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...
GLOBECOM
2008
IEEE
14 years 2 months ago
Information Theoretic Approach to Signal Feature Detection for Cognitive Radio
—Cognitive radio (CR) systems need to be able to adjust the transceiver characteristics in response to stimuli received from the radio environment. Therefore, monitoring the wire...
Mostafa Z. Afgani, Sinan Sinanovic, Harald Haas
IAT
2007
IEEE
14 years 2 months ago
Network Intrusion Detection by Means of Community of Trusting Agents
We apply advanced agent trust modeling techniques to identify malicious traffic in computer networks. Our work integrates four state-of-the-art techniques from anomaly detection,...
Martin Rehák, Michal Pechoucek, Karel Barto...
CORR
2008
Springer
125views Education» more  CORR 2008»
13 years 7 months ago
Sensing Danger: Innate Immunology for Intrusion Detection
The immune system provides an ideal metaphor for anomaly detection in general and computer security in particular. Based on this idea, artificial immune systems have been used for...
Uwe Aickelin, Julie Greensmith
ICASSP
2011
IEEE
12 years 11 months ago
Detection of anomalous events from unlabeled sensor data in smart building environments
This paper presents a robust unsupervised learning approach for detection of anomalies in patterns of human behavior using multi-modal smart environment sensor data. We model the ...
Padmini Jaikumar, Aca Gacic, Burton Andrews, Micha...