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» Anomaly Detection in Streaming Sensor Data
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IJSNET
2007
97views more  IJSNET 2007»
13 years 8 months ago
Stochastic binary sensor networks for noisy environments
— This paper proposes a stochastic framework for detecting anomalies or gathering interesting events in a noisy environment using a sensor network consisting of binary sensors. A...
T. Nguyen, Dong Nguyen, Huaping Liu, Duc A. Tran
ICASSP
2011
IEEE
13 years 10 days 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...
DATAMINE
2008
219views more  DATAMINE 2008»
13 years 8 months ago
Correlating burst events on streaming stock market data
Abstract We address the problem of monitoring and identification of correlated burst patterns in multi-stream time series databases. We follow a two-step methodology: first we iden...
Michail Vlachos, Kun-Lung Wu, Shyh-Kwei Chen, Phil...
JIPS
2006
80views more  JIPS 2006»
13 years 8 months ago
Distance Functions to Detect Changes in Data Streams
: One of the critical issues in a sensor network concerns the detection of changes in data streams. Recently presented change detection schemes primarily use a sliding window model...
Ulziitugs Bud, JongTae Lim
SSDBM
2005
IEEE
175views Database» more  SSDBM 2005»
14 years 2 months ago
Assumption-Free Anomaly Detection in Time Series
Recent advancements in sensor technology have made it possible to collect enormous amounts of data in real time. However, because of the sheer volume of data most of it will never...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...