(Exceptional) workflow mining: A stepwise approach for extracting event logs from corporate network data

G Demmenie, J. van den Berg, M Israel, V Dignum, J. Vrancken

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Original language	English
Title of host publication	Proceedings of the annual Machine Learning Conference of Belgium and The Netherlands (BeNeLearn)
Place of Publication	The Hague, the Netherlands
Publisher	Netherlands Foresnics Institute
Pages	-
Publication status	Published - 2011

Name
Publisher	Netherlands Foresnics Institute

Cite this

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title = "(Exceptional) workflow mining: A stepwise approach for extracting event logs from corporate network data",

author = "G Demmenie and {van den Berg}, J. and M Israel and V Dignum and J. Vrancken",

year = "2011",

language = "English",

publisher = "Netherlands Foresnics Institute",

pages = "--",

booktitle = "Proceedings of the annual Machine Learning Conference of Belgium and The Netherlands (BeNeLearn)",

}

(Exceptional) workflow mining: A stepwise approach for extracting event logs from corporate network data. / Demmenie, G; van den Berg, J.; Israel, M et al.
Proceedings of the annual Machine Learning Conference of Belgium and The Netherlands (BeNeLearn). The Hague, the Netherlands: Netherlands Foresnics Institute, 2011. p. -.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - (Exceptional) workflow mining: A stepwise approach for extracting event logs from corporate network data

AU - Demmenie, G

AU - van den Berg, J.

AU - Israel, M

AU - Dignum, V

AU - Vrancken, J.

PY - 2011

Y1 - 2011

M3 - Conference contribution

SP - -

BT - Proceedings of the annual Machine Learning Conference of Belgium and The Netherlands (BeNeLearn)

PB - Netherlands Foresnics Institute

CY - The Hague, the Netherlands

ER -