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» Knowledge-Based Event Detection in Complex Time Series Data
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KDD
2004
ACM
207views Data Mining» more  KDD 2004»
15 years 10 months ago
Belief state approaches to signaling alarms in surveillance systems
Surveillance systems have long been used to monitor industrial processes and are becoming increasingly popular in public health and anti-terrorism applications. Most early detecti...
Kaustav Das, Andrew W. Moore, Jeff G. Schneider
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
15 years 4 months ago
On burstiness-aware search for document sequences
As the number and size of large timestamped collections (e.g. sequences of digitized newspapers, periodicals, blogs) increase, the problem of efficiently indexing and searching su...
Theodoros Lappas, Benjamin Arai, Manolis Platakis,...
CORR
2011
Springer
213views Education» more  CORR 2011»
14 years 4 months ago
Adapting to Non-stationarity with Growing Expert Ensembles
Forecasting sequences by expert ensembles generally assumes stationary or near-stationary processes; however, in complex systems and many real-world applications, we are frequentl...
Cosma Rohilla Shalizi, Abigail Z. Jacobs, Aaron Cl...
GRID
2006
Springer
14 years 9 months ago
Snapshot Processing in Streaming Environments
Monitoring and correlation of streaming data from multiple sources is becoming increasingly important in many application areas. Example applications include automated commodities...
Daniel M. Zimmerman, K. Mani Chandy
VC
2008
99views more  VC 2008»
14 years 9 months ago
Minimizing probable collision pairs searched in interactive animation authoring
Animation authoring involves an author's interaction with a scene, resulting in varying scene complexity for a given animation sequence. In such a varying environment, detecti...
Parag Agarwal, Srinivas Rajagopalan, B. Prabhakara...