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ORCIDMieke Jans
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- affiliation: Hasselt University, Belgium
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2020 – today
- 2024
[j18]Marzie Hosseinpour, Mieke Jans
:
Auditors' Categorization of Process Deviations. J. Inf. Syst. 38(1): 67-89 (2024)- [j17]Manal Laghmouch, Sebastien Lizin, Jan Mendling, Benoît Depaire, Mieke Jans:
Auditors' Risk Perception of Process Control Deficiencies: A Discrete Choice Experiment. J. Inf. Syst. 38(2): 79-97 (2024) - [c23]Manal Laghmouch, Benoît Depaire, Mieke Jans:
Towards Full Population Testing in Auditing: How Many Process Deviations Should Be Labeled? ICPM 2024: 49-56 - [e3]Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann:
Business Process Management Forum - BPM 2024 Forum, Krakow, Poland, September 1-6, 2024, Proceedings. Lecture Notes in Business Information Processing 526, Springer 2024, ISBN 978-3-031-70417-8 [contents] - [e2]Andrea Marrella, Manuel Resinas, Mieke Jans, Michael Rosemann:
Business Process Management - 22nd International Conference, BPM 2024, Krakow, Poland, September 1-6, 2024, Proceedings. Lecture Notes in Computer Science 14940, Springer 2024, ISBN 978-3-031-70395-9 [contents] - 2023
- [j16]Leen Jooken, Benoît Depaire, Mieke Jans:
Mining Recency-Frequency-Monetary enriched insights into resources' collaboration behavior from event data. Eng. Appl. Artif. Intell. 126: 106765 (2023) - [j15]Elseline Senave, Mieke J. Jans, Rajendra P. Srivastava:
The application of text mining in accounting. Int. J. Account. Inf. Syst. 50: 100624 (2023) - [c22]Diego Calvanese, Mieke Jans, Tahir Emre Kalayci, Marco Montali:
Extracting Event Data from Document-Driven Enterprise Systems. CAiSE 2023: 193-209 - [c21]Manal Laghmouch, Benoît Depaire, Nicola Gigante, Mieke Jans, Marco Montali:
Declare MoGeS: Model Generator and Specializer. ICPM Doctoral Consortium / Demo 2023 - 2022
- [j14]Josep Carmona, Mieke Jans, Marcello La Rosa:
Special issue: Selected papers of ICPM 2019. Inf. Syst. 106: 101899 (2022) - [c20]Leen Jooken, Mieke Jans, Benoît Depaire:
Mining Valuable Collaborations from Event Data Using the Recency-Frequency-Monetary Principle. CAiSE 2022: 339-354 - [p1]Mieke Jans, Marc Eulerich:
Process Mining for Financial Auditing. Process Mining Handbook 2022: 445-467 - [e1]Mieke Jans, Gert Janssenswillen, Anna A. Kalenkova, Fabrizio Maria Maggi:
Proceedings of the ICPM Doctoral Consortium and Demo Track 2021 co-located with 3rd International Conference on Process Mining, ICPM Doctoral Consortium / Demo Track 2021, Eindhoven, The Netherlands, November, 2021. CEUR Workshop Proceedings 3098, CEUR-WS.org 2022 [contents] - 2021
- [j13]Jan vom Brocke, Mieke Jans, Jan Mendling, Hajo A. Reijers:
A Five-Level Framework for Research on Process Mining. Bus. Inf. Syst. Eng. 63(5): 483-490 (2021) - [j12]Jan Mendling, Mieke Jans:
Interview with Varun Grover on "Business Processes, Information Technology and Its Evolution in the Digital Age". Bus. Inf. Syst. Eng. 63(5): 529-532 (2021) - [j11]Mieke Jans, Jochen De Weerdt, Benoît Depaire, Marlon Dumas, Gert Janssenswillen:
Conformance Checking in Process Mining. Inf. Syst. 102: 101851 (2021) - 2020
- [j10]Jan vom Brocke, Mieke Jans, Jan Mendling, Hajo A. Reijers:
Call for Papers, Issue 5/2021. Bus. Inf. Syst. Eng. 62(2): 185-187 (2020) - [j9]Hamzah Ritchi, Mieke Jans, Jan Mendling, Hajo A. Reijers:
Business process representation and performance of different task types. EMISA Forum 40(1): 11-12 (2020) - [j8]Hamzah Ritchi, Mieke Jans, Jan Mendling, Hajo A. Reijers:
The Influence of Business Process Representation on Performance of Different Task Types. J. Inf. Syst. 34(1): 167-194 (2020) - [c19]Gert Janssenswillen, Felix Mannhardt, Mathijs Creemers, Benoît Depaire, Mieke Jans, Leen Jooken, Niels Martin, Greg Van Houdt:
Extensions to the bupaR Ecosystem: An Overview. ICPM Doctoral Consortium / Tools 2020: 43-46 - [c18]Manal Laghmouch, Mieke Jans, Benoît Depaire:
Classifying process deviations with weak supervision. ICPM 2020: 89-96
2010 – 2019
- 2019
- [j7]Mieke Jans, Pnina Soffer, Toon Jouck:
Building a valuable event log for process mining: an experimental exploration of a guided process. Enterp. Inf. Syst. 13(5): 601-630 (2019) - [j6]Mieke Jans, Marzie Hosseinpour:
How active learning and process mining can act as Continuous Auditing catalyst. Int. J. Account. Inf. Syst. 32: 44-58 (2019) - [j5]Gert Janssenswillen, Benoît Depaire, Marijke Swennen, Mieke Jans, Koen Vanhoof:
bupaR: Enabling reproducible business process analysis. Knowl. Based Syst. 163: 927-930 (2019) - [c17]Leen Jooken, Mathijs Creemers, Mieke Jans:
Extracting a Collaboration Model from VCS Logs Based on Process Mining Techniques. Business Process Management Workshops 2019: 212-223 - 2018
- [c16]Jonas Lieben, Toon Jouck, Benoît Depaire, Mieke Jans:
An Improved Way for Measuring Simplicity During Process Discovery. EOMAS@CAiSE 2018: 49-62 - 2017
- [j4]Niels Martin, Marijke Swennen, Benoît Depaire, Mieke Jans, An Caris, Koen Vanhoof:
Retrieving batch organisation of work insights from event logs. Decis. Support Syst. 100: 119-128 (2017) - [c15]Mieke Jans, Pnina Soffer:
From Relational Database to Event Log: Decisions with Quality Impact. Business Process Management Workshops 2017: 588-599 - [c14]Mathijs Creemers, Mieke Jans:
Leveraging Process Mining Techniques for Up-to-date Resource Profiles. RADAR+EMISA@CAiSE 2017: 143-147 - 2016
- [c13]Mathijs Creemers, Mieke Jans:
Social Mining as a Knowledge Management Solution. CAiSE Forum 2016: 57-64 - [c12]Marzie Hosseinpour, Mieke Jans:
Categorizing Identified Deviations for Auditing. SIMPDA 2016: 125-129 - [c11]Marijke Swennen, Niels Martin, Gert Janssenswillen, Mieke Jans, Benoît Depaire, An Caris, Koen Vanhoof:
Capturing Resource Behaviour From Event Logs. SIMPDA 2016: 130-134 - 2015
- [c10]Niels Martin, Marijke Swennen, Benoît Depaire, Mieke Jans, An Caris, Koen Vanhoof:
Batch Processing: Definition and Event Log Identification. SIMPDA 2015: 137-140 - [c9]Marijke Swennen, Gert Janssenswillen, Mieke Jans, Benoît Depaire, Koen Vanhoof:
Capturing Process Behavior with Log-Based Process Metrics. SIMPDA 2015: 141-144 - [c8]Gert Janssenswillen, Marijke Swennen, Benoît Depaire, Mieke Jans:
Enabling Event-data Analysis in R - Demonstration. SIMPDA 2015: 189-198 - 2014
- [c7]Marijke Swennen, Benoît Depaire, Koen Vanhoof, Mieke Jans:
Towards a General Framework for Business Tests. ICEIS (3) 2014: 478-483 - 2013
- [j3]Mieke Jans, Michael G. Alles, Miklos A. Vasarhelyi:
The case for process mining in auditing: Sources of value added and areas of application. Int. J. Account. Inf. Syst. 14(1): 1-20 (2013) - 2012
- [c6]Benoît Depaire, Jo Swinnen, Mieke Jans, Koen Vanhoof:
A Process Deviation Analysis Framework. Business Process Management Workshops 2012: 701-706 - 2011
- [j2]Mieke Jans, Jan Martijn E. M. van der Werf, Nadine Lybaert, Koen Vanhoof:
A business process mining application for internal transaction fraud mitigation. Expert Syst. Appl. 38(10): 13351-13359 (2011) - [c5]Jo Swinnen, Benoît Depaire, Mieke J. Jans, Koen Vanhoof:
A Process Deviation Analysis - A Case Study. Business Process Management Workshops (1) 2011: 87-98 - [c4]Nour Damer, Mieke J. Jans, Benoît Depaire, Koen Vanhoof:
Making Compliance Measures Actionable: A New Compliance Analysis Approach. Business Process Management Workshops (1) 2011: 159-164 - [c3]Mieke J. Jans:
Process Mining in Auditing: From Current Limitations to Future Challenges. Business Process Management Workshops (2) 2011: 394-397 - [c2]Mieke Jans, Benoît Depaire, Koen Vanhoof:
Does Process Mining Add to Internal Auditing? An Experience Report. BMMDS/EMMSAD 2011: 31-45 - 2010
- [j1]Mieke Jans, Nadine Lybaert, Koen Vanhoof:
Internal fraud risk reduction: Results of a data mining case study. Int. J. Account. Inf. Syst. 11(1): 17-41 (2010)
2000 – 2009
- 2008
- [c1]Mieke Jans, Nadine Lybaert, Koen Vanhoof:
Internal Fraud Risk Reduction - Results of a Data Mining Case Study. ICEIS (2) 2008: 161-166
Coauthor Index
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last updated on 2024-10-21 20:33 CEST by the dblp team
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