Modeling and discovering cancelation behavior

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13 Citaten (Scopus)
2 Downloads (Pure)

Samenvatting

This paper presents a novel extension to the process tree model to support cancelation behavior, and proposes a novel process discovery technique to discover sound, fitting models with cancelation features. The proposed discovery technique relies on a generic error oracle function, and allows us to discover complex combinations of multiple, possibly nested cancelation regions based on observed behavior. An implementation of the proposed approach is available as a ProM plugin. Experimental results based on real-life event logs demonstrate the feasibility and usefulness of the approach.

Originele taal-2Engels
TitelOn the Move to Meaningful Internet Systems. OTM 2017 Conferences
SubtitelConfederated International Conferences: CoopIS, C&TC, and ODBASE 2017, Rhodes, Greece, October 23-27, 2017, Proceedings, Part I
RedacteurenH. Panetto, C. Debruyne, W. Galoul, M. Papazoglou, A. Paschke, C. Agostino Ardagna
Plaats van productieDordrecht
UitgeverijSpringer
Pagina's93-113
Aantal pagina's21
ISBN van elektronische versie978-3-319-69462-7
ISBN van geprinte versie978-3-319-69461-0
DOI's
StatusGepubliceerd - 2017
EvenementConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017 - Rhodes, Griekenland
Duur: 23 sep. 201727 sep. 2017

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10573 LNCS
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

CongresConfederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017
Land/RegioGriekenland
StadRhodes
Periode23/09/1727/09/17

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