Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Fani Sani, Mohammadreza"'
Autor:
Farhang Ghahfarokhi, Anahita, Mansouri, Taha, Sadeghi Moghaddam, Mohammad Reza, Bahrambeik, Nila, Yavari, Ramin, Fani Sani, Mohammadreza
Publikováno v:
Kybernetes, 2021, Vol. 51, Issue 9, pp. 2852-2876.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/K-04-2021-0324
Publikováno v:
In Array March 2022 13
Autor:
van Zelst, Sebastiaan J., Fani Sani, Mohammadreza, Ostovar, Alireza, Conforti, Raffaele, La Rosa, Marcello
Publikováno v:
In Information Systems May 2020 90
Publikováno v:
In Computers in Human Behavior February 2016 55 Part B:743-749
Autor:
Fani Sani, Mohammadreza1 (AUTHOR) fanisani@pads.rwth-aachen.de, van Zelst, Sebastiaan J.1,2 (AUTHOR), van der Aalst, Wil M. P.1,2 (AUTHOR)
Publikováno v:
Computing. Jun2021, Vol. 103 Issue 6, p1085-1104. 20p.
Autor:
Fani Sani, Mohammadreza, Vazifehdoostirani, Mozhgan, Park, Gyunam, Pegoraro, Marco, van Zelst, Sebastiaan Johannes, van der Aalst, Wil M. P.
1-25 (2023). doi:10.48550/ARXIV.2301.07624
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::408878f24d6c0233a488c5db422453f2
Autor:
Fani Sani, Mohammadreza, Vazifehdoostirani, Mozhgan, Park, Gyunam, Pegoraro, Marco, van Zelst, S.J. (Bas), van der Aalst, Wil M.P., Munoz-Gama, Jorge, Lu, Xixi
Publikováno v:
Cham : Springer International Publishing, Lecture Notes in Business Information Processing 433, 154-166 (2022). doi:10.1007/978-3-030-98581-3_12
Process Mining Workshops : ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers / edited by Jorge Munoz-Gama, Xixi Lu
Process Mining Workshops : ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers / edited by Jorge Munoz-Gama, Xixi Lu3. International Conference on Process Mining, ICPM 2021, Eindhoven, Netherlands, 2021-10-31-2021-11-04
Lecture Notes in Business Information Processing ISBN: 9783030985806
Process Mining Workshops-ICPM 2021 International Workshops, Revised Selected Papers: ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers, 154-166
STARTPAGE=154;ENDPAGE=166;TITLE=Process Mining Workshops-ICPM 2021 International Workshops, Revised Selected Papers
Process Mining Workshops : ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers / edited by Jorge Munoz-Gama, Xixi Lu
Process Mining Workshops : ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers / edited by Jorge Munoz-Gama, Xixi Lu3. International Conference on Process Mining, ICPM 2021, Eindhoven, Netherlands, 2021-10-31-2021-11-04
Lecture Notes in Business Information Processing ISBN: 9783030985806
Process Mining Workshops-ICPM 2021 International Workshops, Revised Selected Papers: ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31 – November 4, 2021, Revised Selected Papers, 154-166
STARTPAGE=154;ENDPAGE=166;TITLE=Process Mining Workshops-ICPM 2021 International Workshops, Revised Selected Papers
Predictive process monitoring is a subfield of process mining that aims to estimate case or event features for running process instances. Such predictions are of significant interest to the process stakeholders. However, state-of-the-art methods for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::449981c10ab0c1f8000cd2c49b7761aa
http://arxiv.org/abs/2204.01470
http://arxiv.org/abs/2204.01470
Publikováno v:
Advanced Information Systems Engineering
Conformance checking techniques let us find out to what degree a process model and real execution data correspond to each other. In recent years, alignments have proven extremely useful in calculating conformance statistics. Most techniques to comput
Autor:
Fani Sani, Mohammadreza
Publikováno v:
[1]-10 (2020). doi:10.18154/RWTH-2020-11399
Proceedings of the Doctoral Consortium Papers Presented at the 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020),enoble, France, June 08-12, 2020 / Edited by the CAiSE 2020 Doctoral Consortium Chairs, Oscar Pastor, Mario Cortés-Cornax
Proceedings of the Doctoral Consortium Papers Presented at the 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020),enoble, France, June 08-12, 2020 / Edited by the CAiSE 2020 Doctoral Consortium Chairs, Oscar Pastor, Mario Cortés-Cornax32. International Conference on Advanced Information Systems Engineering, CAiSE'20, Grenoble, France, 2020-06-08-2020-06-12
Proceedings of the Doctoral Consortium Papers Presented at the 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020),enoble, France, June 08-12, 2020 / Edited by the CAiSE 2020 Doctoral Consortium Chairs, Oscar Pastor, Mario Cortés-Cornax
Proceedings of the Doctoral Consortium Papers Presented at the 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020),enoble, France, June 08-12, 2020 / Edited by the CAiSE 2020 Doctoral Consortium Chairs, Oscar Pastor, Mario Cortés-Cornax32. International Conference on Advanced Information Systems Engineering, CAiSE'20, Grenoble, France, 2020-06-08-2020-06-12
Proceedings of the Doctoral Consortium Papers Presented at the 32nd International Conference on Advanced Information Systems Engineering (CAiSE 2020),enoble, France, June 08-12, 2020 / Edited by the CAiSE 2020 Doctoral Consortium Chairs, Oscar Pastor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b3d18da2cc888c1d88f57f5b36c4dc8
Publikováno v:
Enterprise modelling and information systems architectures 14, 5 (2019). doi:10.18417/emisa.14.5
It is common in practice, e. g., due to logging errors in information systems or the presence of exeptional process behavior, to have outlier behavior in real event data. Such behavior often leads to incomprehensible, complex, and inaccurate analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9eef40944169a072a4f8c62144539b93