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» Knowledge-Based Event Detection in Complex Time Series Data
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AIMDM
1999
Springer
9 years 4 months ago
Knowledge-Based Event Detection in Complex Time Series Data
This paper describes an approach to the detection of events in complex, multi-channel, high frequency data. The example used is that of detecting the re-siting of a transcutaneous ...
Jim Hunter, Neil McIntosh
IEAAIE
2003
Springer
9 years 5 months ago
SumTime-Turbine: A Knowledge-Based System to Communicate Gas Turbine Time-Series Data
Abstract: SumTime-Turbine produces textual summaries of archived timeseries data from gas turbines. These summaries should help experts understand large data sets that cannot be vi...
Jin Yu, Ehud Reiter, Jim Hunter, Somayajulu Sripad...
IV
2010
IEEE
196views Visualization» more  IV 2010»
8 years 10 months ago
Extracting Events from Spatial Time Series
An important task in exploration of data about phenomena and processes that develop over time is detection of significant changes that happened to the studied phenomenon. Our rese...
Gennady L. Andrienko, Natalia V. Andrienko, Martin...
ICDCS
2007
IEEE
9 years 6 months ago
Non-Threshold based Event Detection for 3D Environment Monitoring in Sensor Networks
Event detection is a crucial task for wireless sensor network applications, especially environment monitoring. Existing approaches for event detection are mainly based on some pre...
Mo Li, Yunhao Liu, Lei Chen 0002
TKDE
2008
137views more  TKDE 2008»
8 years 12 months ago
Nonthreshold-Based Event Detection for 3D Environment Monitoring in Sensor Networks
Event detection is a crucial task for wireless sensor network applications, especially environment monitoring. Existing approaches for event detection are mainly based on some pred...
Mo Li, Yunhao Liu, Lei Chen 0002
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