This paper introduces the homeset algorithm, a novel approach to estimate 
occupancy schedules of private households from sensor data. The algorithm 
relies on unlabeled Wi-Fi scans and anonymized GPS traces collected by the 
mobile phones of household occupants and is able to autonomously determine the 
reliability of the computed schedules. We validate our approach using a data 
set from the Nokia Lausanne Data Collection Campaign that contains mobile 
phone traces of 38 participants over more than a year.