Loading...
Loading...

Go to the content (press return)

Single-entry single-exit decomposed conformance checking

Author
Munoz-Gama, J.; Carmona, J.; Van der Aalst , W.M.P.
Type of activity
Journal article
Journal
Information systems
Date of publication
2014-12
Volume
46
First page
102
Last page
122
DOI
https://doi.org/10.1016/j.is.2014.04.003 Open in new window
Project funding
ALGORISMIA, BIOINFORMÀTICA, COMPLEXITAT I METODES FORMALS (ALBCOM)
Repository
http://hdl.handle.net/2117/23672 Open in new window
URL
http://www.sciencedirect.com/science/article/pii/S0306437914000696 Open in new window
Abstract
An exponential growth of event data can be witnessed across all industries. Devices connected to the internet (internet of things), social interaction, mobile computing, and cloud computing provide new sources of event data and this trend will continue. The omnipresence of large amounts of event data is an important enabler for process mining. Process mining techniques can be used to discover, monitor and improve real processes by extracting knowledge from observed behavior. However, unprecedent...
Citation
Munoz-Gama, J.; Carmona, J.; Van der Aalst , W.M.P. Single-entry single-exit decomposed conformance checking. "Information systems", Desembre 2014, vol. 46, p. 102-122.
Keywords
Conformance checking, Decomposition, Process diagnosis, Process mining
Group of research
ALBCOM - Algorithms, Computational Biology, Complexity and Formal Methods

Participants