Detection and interactive repair of event ordering imperfection in process logs

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

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::946c4744817793ab0216e7053415ec8e
https://doi.org/10.1007/978-3-319-91563-0_17

Evaluating the Effectiveness of Interactive Process Discovery in Healthcare: A Case Study

Autor: Mohammadreza Fani Sani, Davide Aloini, Elisabetta Benevento, Prabhakar M. Dixit, Wil M. P. van der Aalst

Publikováno v: Business Process Management Workshops ISBN: 9783030374525
Business Process Management Workshops

This work aims at investigating the effectiveness and suitability of Interactive Process Discovery, an innovative Process Mining technique, to model healthcare processes in a data-driven manner. Interactive Process Discovery allows the analyst to int

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d3151a80127c695f5038a90274034ed2
https://doi.org/10.1007/978-3-030-37453-2_41

ProDiGy : Human-in-the-loop process discovery

Autor: Joos C. A. M. Buijs, W. M. P. van der Aalst, Prabhakar M. Dixit

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

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::239600450de9f213a34fda4068d5ad28
https://doi.org/10.1109/rcis.2018.8406657

Using domain knowledge to enhance process mining results

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)

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

Quality-Informed Process Mining: A Case for Standardised Data Quality Annotations.

Autor: GOEL, KANIKA, LEEMANS, SANDER J. J., MARTIN, NIELS, WYNN, MOE T.

Publikováno v: ACM Transactions on Knowledge Discovery from Data; Mar2022, Vol. 16 Issue 5, p1-47, 47p