@inproceedings{40079ea6838140d4a19e6190c10a80cf,
title = "Modeling and discovering cancelation behavior",
abstract = "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.",
keywords = "Cancelation discovery, Cancelation modeling, Event logs, Process discovery, Process mining, Process trees, Reset nets",
author = "M. Leemans and {van der Aalst}, W.M.P.",
year = "2017",
doi = "10.1007/978-3-319-69462-7_8",
language = "English",
isbn = "978-3-319-69461-0",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "93--113",
editor = "H. Panetto and C. Debruyne and W. Galoul and M. Papazoglou and A. Paschke and {Agostino Ardagna}, C.",
booktitle = "On the Move to Meaningful Internet Systems. OTM 2017 Conferences",
address = "Germany",
note = "Confederated International Conference On the Move to Meaningful Internet Systems, OTM 2017 held in conjunction with Conferences on CoopIS, CandTC and ODBASE 2017 ; Conference date: 23-09-2017 Through 27-09-2017",
}