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Visual interactive process monitoring

: Maier, Sebastian; Kühnel, Hannes; May, Thorsten; Kuijper, Arjan


Yamamoto, S.:
Human interface and the management of information. 17th international conference, HCI International 2015. Vol.1: Information and knowledge design : Los Angeles, California, USA, August 2-7, 2015, Proceedings
Cham: Springer International Publishing, 2015 (Lecture Notes in Computer Science 9172)
ISBN: 978-3-319-20611-0 (Print)
ISBN: 978-3-319-20612-7 (Online)
International Conference on Human-Computer Interaction (HCI International) <17, 2015, Los Angeles/Calif.>
International Conference on Human Interface and the Management of Information (HIMI) <2015, Los Angeles/Calif.>
Fraunhofer IGD ()
Business Field: Visual decision support; Research Area: Human computer interaction (HCI); visual analytic; information visualization; workflow management; process management

Sensor data has been coined the oil of the 21st century. We present a technique for the visual analysis of multivariate sensor event log data. This technique tackles two challenges: Firstly, in a complex process the relation of causes and effects is often masked by indirections. Secondly, the metrics to measure success might be different from the measures that identify causes. Thus, our approach does not require that all sensor data is equal. Our techniques combines automated and interactive grouping to identify candidate sets sharing properties relevant for cause and effect analysis. Interactive visual probes offer immediate information on the statistical relevance of an identified connection.