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» Detecting Change in Data Streams
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DASFAA
2007
IEEE
183views Database» more  DASFAA 2007»
14 years 2 months ago
BioDIFF: An Effective Fast Change Detection Algorithm for Biological Annotations
Abstract. Warehousing heterogeneous, dynamic biological data is a key technique for biological data integration as it greatly improves performance. However, it requires complex mai...
Yang Song, Sourav S. Bhowmick, C. Forbes Dewey
DASFAA
2006
IEEE
153views Database» more  DASFAA 2006»
14 years 1 months ago
DAPSS: Exact Subsequence Matching for Data Streams
There is much interest in the processing of data streams for applications in the fields such as financial analysis, network monitoring, mobile services, and sensor network manage...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
IGARSS
2009
13 years 5 months ago
Potential Fire Detection based on Kalman-driven Change Detection
A new active fire event detection algorithm for data collected with the Spinning Enhanced Visible and Infrared Imager (SEVIRI) sensor, based on the extended Kalman filter, is intr...
Frans van den Bergh, Gustave Udahemuka, Barend J. ...
ICDCS
1999
IEEE
13 years 12 months ago
Run-time Detection in Parallel and Distributed Systems: Application to Safety-Critical Systems
There is growing interest in run-time detection as parallel and distributed systems grow larger and more complex. This work targets run-time analysis of complex, interactive scien...
Beth Plale, Karsten Schwan
ICDE
2003
IEEE
148views Database» more  ICDE 2003»
14 years 9 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