LocaRhythms: Real-Time Data Mining for Continuous Detection and Prediction of Stays

摘要

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.