Mining process model descriptions of daily life through event abstraction

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6 Citaten (Scopus)

Samenvatting

Process mining techniques focus on extracting insight in processes from event logs. Process mining has the potential to provide valuable insights in (un)healthy habits and to contribute to ambient assisted living solutions when applied on data from smart home environments. However, events recorded in smart home environments are on the level of sensor triggers, at which process discovery algorithms produce overgeneralizing process models that allow for too much behavior and that are difficult to interpret for human experts. We show that abstracting the events to a higher-level interpretation can enable discovery of more precise and more comprehensible models. We present a framework for the extraction of features that can be used for abstraction with supervised learning methods that is based on the XES IEEE standard for event logs. This framework can automatically abstract sensor-level events to their interpretation at the human activity level, after training it on training data for which both the sensor and human activity events are known. We demonstrate our abstraction framework on three real-life smart home event logs and show that the process models that can be discovered after abstraction are more precise indeed.
Originele taal-2Engels
TitelIntelligent Systems and Applications
SubtitelExtended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2016
RedacteurenSupriya Kapoor, Rahul Bhatia, Yaxin Bi
Plaats van productieBerlin
UitgeverijSpringer
Pagina's83-104
Aantal pagina's22
ISBN van elektronische versie978-3-319-69266-1
ISBN van geprinte versie978-3-319-69265-4
DOI's
StatusGepubliceerd - 1 jan 2018
Evenement2016 Intelligent Systems Conference (IntelliSys 2016) - London, Verenigd Koninkrijk
Duur: 21 sep 201622 sep 2016
http://saiconference.com/Conferences/IntelliSys2016

Publicatie series

NaamStudies in Computational Intelligence
UitgeverijSpringer International Publishing
Volume751
ISSN van geprinte versie1860-949X

Congres

Congres2016 Intelligent Systems Conference (IntelliSys 2016)
Verkorte titelIntelliSys 2016
LandVerenigd Koninkrijk
StadLondon
Periode21/09/1622/09/16
Internet adres

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Citeer dit

Tax, N., Sidorova, N., Haakma, R., & van der Aalst, W. M. P. (2018). Mining process model descriptions of daily life through event abstraction. In S. Kapoor, R. Bhatia, & Y. Bi (editors), Intelligent Systems and Applications: Extended and Selected Results from the SAI Intelligent Systems Conference (IntelliSys) 2016 (blz. 83-104). (Studies in Computational Intelligence; Vol. 751). Berlin: Springer. https://doi.org/10.1007/978-3-319-69266-1_5