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. © 2009 IEEE.
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CITATION STYLE
Fetter, M., & Gross, T. (2009). LocaRhythms: Real-time data mining for continuous detection and prediction of stays. In Conference Proceedings of the EUROMICRO (pp. 64–71). https://doi.org/10.1109/SEAA.2009.27
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