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» Anomaly Detection in Streaming Sensor Data
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ICDM
2007
IEEE
196views Data Mining» more  ICDM 2007»
14 years 2 months ago
Diagnosing Similarity of Oscillation Trends in Time Series
Sensor networks have increased the amount and variety of temporal data available, requiring the definition of new techniques for data mining. Related research typically addresses...
Leonardo E. Mariote, Claudia Bauzer Medeiros, Rica...
AIED
2009
Springer
14 years 3 months ago
Emotion Sensors Go To School
This paper describes the use of sensors in intelligent tutors to detect students' affective states and to embed emotional support. Using four sensors in two classroom experime...
Ivon Arroyo, David G. Cooper, Winslow Burleson, Be...
HUC
2011
Springer
12 years 8 months ago
iBAT: detecting anomalous taxi trajectories from GPS traces
GPS-equipped taxis can be viewed as pervasive sensors and the large-scale digital traces produced allow us to reveal many hidden “facts” about the city dynamics and human beha...
Daqing Zhang, Nan Li, Zhi-Hua Zhou, Chao Chen, Lin...
ICDE
2007
IEEE
183views Database» more  ICDE 2007»
14 years 10 months ago
SpADe: On Shape-based Pattern Detection in Streaming Time Series
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
Yueguo Chen, Mario A. Nascimento, Beng Chin Ooi, A...
SIGMOD
2003
ACM
196views Database» more  SIGMOD 2003»
14 years 8 months ago
Aurora: A Data Stream Management System
The Aurora system [1] is an experimental data stream management system with a fully functional prototype. It includes both a graphical development environment, and a runtime syste...
Daniel J. Abadi, Donald Carney, Ugur Çetint...