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Incorporating negative information to process discovery of complex systems

Autor
Ponce de León, H.; Nardelli, L.; Carmona, J.; vanden Broucke, S.K.L.M.
Tipus d'activitat
Article en revista
Revista
Information sciences
Data de publicació
2018-01-01
Volum
422
Pàgina inicial
480
Pàgina final
496
DOI
https://doi.org/10.1016/j.ins.2017.09.027 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/108870 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0020025516315444?via%3Dihub Obrir en finestra nova
Resum
The discovery of a formal process model from event logs describing real process executions is a challenging problem that has been studied from several angles. Most of the contributions consider the extraction of a model as a one-class supervised learning problem where only a set of process instances is available. Moreover, the majority of techniques cannot generate complex models, a crucial feature in some areas like manufacturing. In this paper we present a fresh look at process discovery where...
Citació
Ponce de León, H., Nardelli, L., Carmona, J., vanden Broucke, S.K.L.M. Incorporating negative information to process discovery of complex systems. "Information sciences", 1 Gener 2018, vol. 422, p. 480-496.
Paraules clau
Convex polyhedrons, Formal process models, Negative information, Process execution, Process instances, Prototype implementations, Satisfiability modulo theories, Supervised learning problems
Grup de recerca
ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals

Participants

  • Ponce de León, Hernán  (autor)
  • Nardelli, Lucio  (autor)
  • Carmona Vargas, Jose  (autor)
  • vanden Broucke, Seppe  (autor)