Title :
LocaRhythms: Real-Time Data Mining for Continuous Detection and Prediction of Stays
Author :
Fetter, Mirko ; Gross, Tom
Author_Institution :
Fac. of Media, Bauhaus -Univ. Weimar, Weimar, Germany
Abstract :
In distributed teams information on each other´s whereabouts is an important prerequisite for efficient communication, coordination, and cooperation. In this paper we present LocaRhythms-a novel approach for continuous detection and prediction of users´ stays. This is achieved by continuous capturing of position data, by real-time data mining with an innovative combination of machine learning algorithms, and by anytime presenting stays and follow-up stays.
Keywords :
Global Positioning System; data mining; groupware; learning (artificial intelligence); mobile computing; team working; LocaRhythms system; distributed teams information; machine learning algorithm; real time data mining; user stay continuous detection; user stay continuous prediction; Area measurement; Coordinate measuring machines; Current measurement; Data mining; Event detection; Extraterrestrial measurements; Frequency measurement; Global Positioning System; Object detection; Position measurement; Computer-Supported Cooperative Work; Continuous Detection and Prediction; Mobile Computing; Real-Time Data Mining;
Conference_Titel :
Software Engineering and Advanced Applications, 2009. SEAA '09. 35th Euromicro Conference on
Conference_Location :
Patras
Print_ISBN :
978-0-7695-3784-9
DOI :
10.1109/SEAA.2009.27
