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» Soft-computing techniques for time series forecasting
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PERVASIVE
2011
Springer
12 years 9 months ago
NextPlace: A Spatio-temporal Prediction Framework for Pervasive Systems
Abstract. Accurate and fine-grained prediction of future user location and geographical profile has interesting and promising applications including targeted content service, adv...
Salvatore Scellato, Mirco Musolesi, Cecilia Mascol...
SAC
2009
ACM
14 years 1 months ago
Adaptive burst detection in a stream engine
Detecting bursts in data streams is an important and challenging task. Due to the complexity of this task, usually burst detection cannot be formulated using standard query operat...
Marcel Karnstedt, Daniel Klan, Christian Pöli...
LWA
2008
13 years 7 months ago
Towards Burst Detection for Non-Stationary Stream Data
Detecting bursts in data streams is an important and challenging task, especially in stock market, traffic control or sensor network streams. Burst detection means the identificat...
Daniel Klan, Marcel Karnstedt, Christian Pöli...
TITB
2010
123views Education» more  TITB 2010»
13 years 29 days ago
The pseudotemporal bootstrap for predicting glaucoma from cross-sectional visual field data
Progressive loss of the field of vision is characteristic of a number of eye diseases such as glaucoma, a leading cause of irreversible blindness in the world. Recently, there has ...
Allan Tucker, David Garway-Heath
IWCMC
2006
ACM
14 years 6 days ago
SCAR: context-aware adaptive routing in delay tolerant mobile sensor networks
Sensor devices are being embedded in all sorts of items including vehicles, furniture but also animal and human bodies through health monitors and tagging techniques. The collecti...
Cecilia Mascolo, Mirco Musolesi