RT Journal Article
T1 Understanding complex process models by abstracting infrequent behavior
A1 Chapela de la Campa, David
A1 Mucientes Molina, Manuel
A1 Lama Penín, Manuel
K1 Event abstraction
K1 Model simplification
K1 Log simplification
K1 Process mining
K1 Business process management
AB Process mining has become very popular in the last years as a way to analyze the behavior of an organization by offering techniques to discover, monitor and enhance real processes. A key point in process mining is to discover understandable process models. To achieve this goal in complex processes, several simplification techniques have been proposed, from the structural simplification of the model to the simplification of the log to discover simpler process models. However, obtaining a comprehensible model explaining the behavior of unstructured large processes (for instance containing hundreds of activities) is still an open challenge. In this paper, we introduce UBeA, a novel technique to abstract non-core behavior from a process model. We also present IBeA, a specific implementation of this proposal to simplify process models by abstracting infrequent behavior, using a frequent behavior extraction algorithm to detect the core behavior. IBeA has been validated with more than 10 complex real processes, most of them from the Business Process Intelligence Challenge (BPIC), showing that it simplifies the process obtaining a better process model than other simplification techniques
PB Elsevier
SN 0167-739X
YR 2020
FD 2020
LK http://hdl.handle.net/10347/24672
UL http://hdl.handle.net/10347/24672
LA eng
NO Future Generation Computer Systems, Volume 113, December 2020, Pages 428-440
NO This research was funded by the Spanish Ministry of Economy and Competitiveness [TIN2017-84796-C2-1-R]; and the Galician Ministry of Education, Culture and Universities, Spain [ED431G/08]. These grants are co-funded by the European Regional Development Fund (ERDF/FEDER program). D. Chapela-Campa is supported by the Spanish Ministry of Education , under the FPU national plan (FPU16/04428)
DS Minerva
RD 24 abr 2026