Sciweavers

543 search results - page 39 / 109
» Detecting anomalies in data streams using statecharts
Sort
View
ICDE
2003
IEEE
148views Database» more  ICDE 2003»
15 years 11 months ago
Dynamic Clustering of Evolving Streams with a Single Pass
Stream data is common in many applications, e.g., stock quotes, merchandize sales record, system logs, etc.. It is of great importance to analyze these stream data. As one of the ...
Jiong Yang
JIPS
2006
80views more  JIPS 2006»
14 years 9 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
IPPS
2005
IEEE
15 years 3 months ago
A Parallel Algorithm for Correlating Event Streams
This paper describes a parallel algorithm for correlating or “fusing” streams of data from sensors and other sources of information. The algorithm is useful for applications w...
Daniel M. Zimmerman, K. Mani Chandy
ICASSP
2011
IEEE
14 years 1 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...
ECCV
2010
Springer
15 years 1 months ago
Anomalous Behaviour Detection using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Pro
Abstract. This paper proposes a novel approach to anomalous behaviour detection in video. The approach is comprised of three key components. First, distributions of spatiotemporal ...