Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Sander J.J. Leemans"'
Publikováno v:
Business Process Management Journal. 29:690-709
PurposeProcess mining (PM) specialises in extracting insights from event logs to facilitate the improvement of an organisation's business processes. Industry trends show the proliferation and continued growth of PM techniques. To address the minimal
Publikováno v:
IEEE Transactions on Knowledge and Data Engineering. :1-15
Autor:
Adam T. Burke, Sander J.J. Leemans, Moe T. Wynn, Wil M.P van der Aalst, Arthur H.M. ter Hofstede
Publikováno v:
2022 4th International Conference on Process Mining (ICPM).
Autor:
Sander J.J. Leemans, Artem Polyvyanyy
Publikováno v:
Information Systems. 115:102197
Publikováno v:
Information Systems. :102223
For many organizations, the continuous optimization of their business processes has become a critical success factor. Several related methods exist that enable the step-by-step redesign of business processes. However, these methods are mainly perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f643783e1dfaf25b0454b1e3080d2fea
https://publica.fraunhofer.de/handle/publica/428506
https://publica.fraunhofer.de/handle/publica/428506
Autor:
Adam Banham, Sander J.J. Leemans, Moe T. Wynn, Robert Andrews, Kevin B. Laupland, Lucy Shinners
Publikováno v:
Artificial Intelligence in Medicine. 133:102409
Process mining is a well-established discipline with applications in many industry sectors, including healthcare. To date, few publications have considered the context in which processes execute. Little consideration has been given as to how contextu