TY - CHAP U1 - Buchbeitrag A1 - Geisse, Dennis A1 - John, Iven A1 - Kotstein, Sebastian ED - Hertweck, Dieter T1 - Reality mining in sensor-based mobile-driven environments T2 - Digital Enterprise Computing (DEC 2016) : Böblingen, Germany, June 14-15, 2016 N2 - Reality mining refers to an application of data mining, using sensor data to drive behavioral patterns in the real world. However, research in this field started a decade ago when technology was far behind today's state of the art. This paper discusses which requirements are now posed to applications in the context of reality mining. A survey has shown which sensors are available in state-of-the-art smartphones and usable to gather data for reality mining. As another contribution of this paper, a reality mining application architecture is proposed to facilitate the implementation of such applications. A proof of concept verifies the assumptions made on reality mining and the presented architecture. KW - reality mining KW - application architecture KW - sensor-based environments KW - smartphone features KW - wearable sensors KW - Android applications KW - big data applications Y1 - 2016 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9339 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-9339 UR - http://subs.emis.de/LNI/Proceedings/Proceedings258/article9.html SN - 978-3-88579-652-7 SB - 978-3-88579-652-7 SP - 187 EP - 200 S1 - 14 PB - Gesellschaft für Informatik CY - Bonn ER -