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2015 | OriginalPaper | Buchkapitel

Visual Interactive Process Monitoring

verfasst von : Sebastian Maier, Hannes Kühnel, Thorsten May, Arjan Kuijper

Erschienen in: Human Interface and the Management of Information. Information and Knowledge Design

Verlag: Springer International Publishing

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Abstract

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.

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Metadaten
Titel
Visual Interactive Process Monitoring
verfasst von
Sebastian Maier
Hannes Kühnel
Thorsten May
Arjan Kuijper
Copyright-Jahr
2015
DOI
https://doi.org/10.1007/978-3-319-20612-7_8

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