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Event log visualisation with conditional partial order graphs: from control flow to data

Author
Mokhov, A.; Carmona, J.
Type of activity
Presentation of work at congresses
Name of edition
International Workshop on Algorithms & Theories for the Analysis of Event Data 2015
Date of publication
2015
Presentation's date
2015-06-22
Book of congress proceedings
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015
First page
16
Last page
30
Publisher
CEUR-WS.org
Repository
http://hdl.handle.net/2117/84016 Open in new window
URL
http://ceur-ws.org/Vol-1371/paper02.pdf Open in new window
Abstract
Process mining techniques rely on event logs: the extraction of a process model (discovery) takes an event log as the input, the adequacy of a process model (conformance) is checked against an event log, and the enhancement of a process model is performed by using available data in the log. Several notations and formalisms for event log representation have been proposed in the recent years to enable efficient algorithms for the aforementioned process mining problems. In this paper we show how C...
Citation
Mokhov, A., Carmona, J. Event log visualisation with conditional partial order graphs: from control flow to data. A: International Workshop on Algorithms & Theories for the Analysis of Event Data. "Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015". Bruselas: CEUR-WS.org, 2015, p. 16-30.
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods

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