Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Joos C. A. M. Buijs"'
Publikováno v:
Applied Sciences, Vol 7, Iss 10, p 1023 (2017)
Configurable process models are frequently used to represent business workflows and other discrete event systems among different branches of large organizations: they unify commonalities shared by all branches and describe their differences, at the s
Externí odkaz:
https://doaj.org/article/0cbbb68071cb42e4a32d08b5d6919789
Autor:
Andreas Solti, Manuel Resinas, Jan vom Brocke, Henrik Leopold, Jan Mendling, Matthias Stierle, Wil M. P. van der Aalst, Karsten Kraume, Claudio Di Ciccio, Till Post, Christian Bartelheimer, Armin Stein, Daniel Beverungen, Marcello La Rosa, Nadine Ogonek, Minseok Song, Martin Matzner, Adela del-Río-Ortega, Kate Revoredo, Joos C. A. M. Buijs, Joerg Becker, Verena Wolf, Flávia Maria Santoro, Marco Comuzzi
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Business & information systems engineering 63(2), 145-156 (2020). doi:10.1007/s12599-020-00646-z
instname
Business & information systems engineering 63(2), 145-156 (2020). doi:10.1007/s12599-020-00646-z
Business & information systems engineering 63(2), 145–156 (2020). doi:10.1007/s12599-020-00646-z
Published by AIS, Atlanta, Georgia
Published by AIS, Atlanta, Georgia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d81891518059ca73ff3377957c597ab6
Autor:
Manuel Mucientes, Manuel Lama, Joos C. A. M. Buijs, Sebastiaan J. van Zelst, Borja Vázquez-Barreiros
Process mining represents a collection of data driven techniques that support the analysis, understanding and improvement of business processes. A core branch of process mining is conformance checking, i.e., assessing to what extent a business proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bf7b2c7b87b49b80fb7ad1f1393f92b
https://publica.fraunhofer.de/handle/publica/264250
https://publica.fraunhofer.de/handle/publica/264250
Autor:
Arthur H. M. ter Hofstede, Joos C. A. M. Buijs, Moe Thandar Wynn, Prabhakar M. Dixit, Robert Andrews, Suriadi Suriadi, Wil M. P. van der Aalst
Publikováno v:
Advanced Information Systems Engineering ISBN: 9783319915623
CAiSE
Advanced Information Systems Engineering: 30th International Conference, CAiSE 2018, Proceedings (Lecture Notes in Computer Science, Volume 10816)
Advanced Information Systems Engineering-30th International Conference, CAiSE 2018, Proceedings, 274-290
STARTPAGE=274;ENDPAGE=290;TITLE=Advanced Information Systems Engineering-30th International Conference, CAiSE 2018, Proceedings
CAiSE
Advanced Information Systems Engineering: 30th International Conference, CAiSE 2018, Proceedings (Lecture Notes in Computer Science, Volume 10816)
Advanced Information Systems Engineering-30th International Conference, CAiSE 2018, Proceedings, 274-290
STARTPAGE=274;ENDPAGE=290;TITLE=Advanced Information Systems Engineering-30th International Conference, CAiSE 2018, Proceedings
Many forms of data analysis require timestamp information to order the occurrences of events. The process mining discipline uses historical records of process executions, called event logs, to derive insights into business process behaviours and perf
Autor:
Bart F. A. Hompes, Prabhakar M. Dixit, Wil M. P. van der Aalst, Johannes Buurman, Joos C. A. M. Buijs
Publikováno v:
Lecture Notes in Business Information Processing ISBN: 9783319534343
SIMPDA (Revised Selected Papers)
Data-Driven Process Discovery and Analysis: 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers, 54-75
STARTPAGE=54;ENDPAGE=75;TITLE=Data-Driven Process Discovery and Analysis
SIMPDA (Revised Selected Papers)
Data-Driven Process Discovery and Analysis: 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers, 54-75
STARTPAGE=54;ENDPAGE=75;TITLE=Data-Driven Process Discovery and Analysis
Real-life business processes are complex and often exhibit a high degree of variability. Additionally, due to changing conditions and circumstances, these processes continuously evolve over time. For example, in the healthcare domain, advances in med
Autor:
Bruno Franco Mazza, Ricardo Alfredo Quintano Neira, Bart F. A. Hompes, Samantha L. Simões de Almeida, Erin Stretton, Gert-Jan de Vries, Joos C. A. M. Buijs, Silvio Hamacher
Publikováno v:
Business Process Management Workshops ISBN: 9783030374525
Business Process Management Workshops
Business Process Management Workshops
In this work, we propose and apply a methodology for the management and optimization of clinical pathways using process mining. We adapt the Clinical Pathway Analysis Method (CPAM) by taking into consideration healthcare providers’ needs. We succes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e69ff94e940d629b94287144d7480ed6
https://doi.org/10.1007/978-3-030-37453-2_37
https://doi.org/10.1007/978-3-030-37453-2_37
Publikováno v:
RCIS
2018 12th International Conference on Research Challenges in Information Science, RCIS 2018, 1-12
STARTPAGE=1;ENDPAGE=12;TITLE=2018 12th International Conference on Research Challenges in Information Science, RCIS 2018
2018 12th International Conference on Research Challenges in Information Science, RCIS 2018, 1-12
STARTPAGE=1;ENDPAGE=12;TITLE=2018 12th International Conference on Research Challenges in Information Science, RCIS 2018
Process mining is a discipline that combines the two worlds of business process management and data mining. The central component of process mining is a graphical process model that provides an intuitive way of capturing the logical flow of a process
Publikováno v:
International review of research in open and distance learning 19(5), 38-60 (2018). doi:10.19173/irrodl.v19i5.3748
International Review of Research in Open and Distance Learning, 19(5), 38-60. Athabasca University
International Review of Research in Open and Distributed Learning, Vol 19, Iss 5 (2018)
International Review of Research in Open and Distance Learning, 19(5), 38-60. Athabasca University
International Review of Research in Open and Distributed Learning, Vol 19, Iss 5 (2018)
International review of research in open and distance learning 19(5), 38-60 (2018). doi:10.19173/irrodl.v19i5.3748
Published by Athabasca University, Athabasca
Published by Athabasca University, Athabasca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa167fcc6ae1f85d14be48b2ea07af52
Autor:
Prabhakar M. Dixit, Johannes Buurman, Joos C. A. M. Buijs, Wil M. P. van der Aalst, Bart F. A. Hompes
Publikováno v:
Data-Driven Process Discovery and Analysis: 5th IFIP WG 2.6 International Symposium, SIMPDA 2015, Vienna, Austria, December 9-11, 2015, Revised Selected Papers, 76-104
STARTPAGE=76;ENDPAGE=104;TITLE=Data-Driven Process Discovery and Analysis
Lecture Notes in Business Information Processing ISBN: 9783319534343
SIMPDA (Revised Selected Papers)
STARTPAGE=76;ENDPAGE=104;TITLE=Data-Driven Process Discovery and Analysis
Lecture Notes in Business Information Processing ISBN: 9783319534343
SIMPDA (Revised Selected Papers)
Process discovery algorithms typically aim at discovering process models from event logs. Most algorithms achieve this by solely using an event log, without allowing the domain expert to influence the discovery in any way. However, the user may have
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b70efd68a35f835f0a8627c604c9cf8f
https://doi.org/10.1007/978-3-319-53435-0_4
https://doi.org/10.1007/978-3-319-53435-0_4
Publikováno v:
Applied Sciences, Vol 7, Iss 10, p 1023 (2017)
Applied Sciences, 7(10):1023. Multidisciplinary Digital Publishing Institute (MDPI)
Applied Sciences; Volume 7; Issue 10; Pages: 1023
Applied Sciences, 7(10):1023. Multidisciplinary Digital Publishing Institute (MDPI)
Applied Sciences; Volume 7; Issue 10; Pages: 1023
Configurable process models are frequently used to represent business workflows and other discrete event systems among different branches of large organizations: they unify commonalities shared by all branches and describe their differences, at the s