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ORCIDWil M. P. van der Aalst
Willibrordus Martinus Pancratius van der Aalst
Person information
- affiliation: RWTH Aachen University, Chair of Process and Data Science, Germany
- affiliation (former): Eindhoven University of Technology, Department of Mathematics and Computer Science
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2020 – today
- 2020
[j237]Marco Pegoraro
, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. Algorithms 13(11): 285 (2020)- [j236]Oliver Hinz, Wil M. P. van der Aalst, Christof Weinhardt:
Research in the Attention Economy. Bus. Inf. Syst. Eng. 62(2): 83-85 (2020) - [j235]Christof Weinhardt, Simon Kloker, Oliver Hinz, Wil M. P. van der Aalst:
Citizen Science in Information Systems Research. Bus. Inf. Syst. Eng. 62(4): 273-277 (2020) - [j234]Wil M. P. van der Aalst, Oliver Hinz, Christof Weinhardt:
Impact of COVID-19 on BISE Research and Education. Bus. Inf. Syst. Eng. 62(6): 463-466 (2020) - [j233]Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Improving the performance of process discovery algorithms by instance selection. Comput. Sci. Inf. Syst. 17(3): 927-958 (2020) - [j232]Wil M. P. van der Aalst, Alessandro Berti:
Discovering Object-centric Petri Nets. Fundam. Informaticae 175(1-4): 1-40 (2020) - [j231]Eduardo González López de Murillas, Hajo A. Reijers, Wil M. P. van der Aalst:
Case notion discovery and recommendation: automated event log building on databases. Knowl. Inf. Syst. 62(7): 2539-2575 (2020) - [j230]Long Cheng, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
Scalable Discovery of Hybrid Process Models in a Cloud Computing Environment. IEEE Trans. Serv. Comput. 13(2): 368-380 (2020) - [c482]Lisa Luise Mannel, Robin Bergenthum, Wil M. P. van der Aalst:
Removing Implicit Places Using Regions for Process Discovery. ATAED@Petri Nets 2020: 20-32 - [c481]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Repairing Event Logs with Missing Events to Support Performance Analysis of Systems with Shared Resources. Petri Nets 2020: 239-259 - [c480]Wil M. P. van der Aalst, Daniel Tacke Genannt Unterberg, Vadim Denisov, Dirk Fahland:
Visualizing Token Flows Using Interactive Performance Spectra. Petri Nets 2020: 369-380 - [c479]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Construction of Behavior Graphs for Uncertain Event Data. BIS 2020: 76-88 - [c478]Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Supporting Automatic System Dynamics Model Generation for Simulation in the Context of Process Mining. BIS 2020: 249-263 - [c477]Mahsa Pourbafrani, Wil M. P. van der Aalst:
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining. BPM (PhD/Demos) 2020: 77-81 - [c476]Majid Rafiei, Wil M. P. van der Aalst:
Practical Aspect of Privacy-Preserving Data Publishing in Process Mining. BPM (PhD/Demos) 2020: 92-96 - [c475]Majid Rafiei, Wil M. P. van der Aalst:
Privacy-Preserving Data Publishing in Process Mining. BPM (Forum) 2020: 122-138 - [c474]Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Conformance Checking Approximation Using Subset Selection and Edit Distance. CAiSE 2020: 234-251 - [c473]Wil M. P. van der Aalst:
On the Pareto Principle in Process Mining, Task Mining, and Robotic Process Automation. DATA 2020: 5-12 - [c472]Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Semi-automated Time-Granularity Detection for Data-Driven Simulation Using Process Mining and System Dynamics. ER 2020: 77-91 - [c471]Zahra Toosinezhad, Dirk Fahland, Özge Köroglu, Wil M. P. van der Aalst:
Detecting System-Level Behavior Leading To Dynamic Bottlenecks. ICPM 2020: 17-24 - [c470]Alessandro Berti, Wil M. P. van der Aalst, David Zang, Magdalena Lang:
An Open-Source Integration of Process Mining Features Into the Camunda Workflow Engine: Data Extraction and Challenges. ICPM Doctoral Consortium / Tools 2020: 23-26 - [c469]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Multi-Dimensional Performance Analysis and Monitoring Using Integrated Performance Spectra. ICPM Doctoral Consortium / Tools 2020: 27-30 - [c468]Tobias Brockhoff, Merih Seran Uysal, Wil M. P. van der Aalst:
Time-aware Concept Drift Detection Using the Earth Mover's Distance. ICPM 2020: 33-40 - [c467]Marcus Dees, Bart Hompes, Wil M. P. van der Aalst:
Events Put into Context (EPiC). ICPM 2020: 65-72 - [c466]Mohammadreza Fani Sani, Juan J. Garza Gonzalez, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Conformance Checking Approximation Using Simulation. ICPM 2020: 105-112 - [c465]Wil M. P. van der Aalst:
Process Mining as the Superglue between Data and Process Management. ICSOFT 2020: 7-8 - [c464]Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Supporting Decisions in Production Line Processes by Combining Process Mining and System Dynamics. IHSI 2020: 461-467 - [c463]Majid Rafiei, Miriam Wagner, Wil M. P. van der Aalst:
TLKC-Privacy Model for Process Mining. RCIS 2020: 398-416 - [c462]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Incremental Discovery of Hierarchical Process Models. RCIS 2020: 417-433 - [c461]Landelin Delcoucq, Fabian Lecron, Philippe Fortemps, Wil M. P. van der Aalst:
Resource-centric process mining: clustering using local process models. SAC 2020: 45-52 - [e31]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Communications in Computer and Information Science 1086, Springer 2020, ISBN 978-3-030-39574-2 [contents] - [e30]Wil M. P. van der Aalst, Robin Bergenthum, Josep Carmona:
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2020 Satellite event of the 41st International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2020, virtual workshop, June 24, 2020. CEUR Workshop Proceedings 2625, CEUR-WS.org 2020 [contents] - [e29]Wil M. P. van der Aalst, Jan vom Brocke, Marco Comuzzi, Claudio Di Ciccio, Félix García, Akhil Kumar, Jan Mendling, Brian T. Pentland, Luise Pufahl, Manfred Reichert, Mathias Weske:
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2020 co-located with the 18th International Conference on Business Process Management (BPM 2020), Sevilla, Spain, September 13-18, 2020. CEUR Workshop Proceedings 2673, CEUR-WS.org 2020 [contents] - [i52]Alessandro Berti, Wil M. P. van der Aalst:
Extracting Multiple Viewpoint Models from Relational Databases. CoRR abs/2001.02562 (2020) - [i51]Christopher Klinkmüller, Ingo Weber, Alexander Ponomarev, An Binh Tran, Wil M. P. van der Aalst:
Efficient Logging for Blockchain Applications. CoRR abs/2001.10281 (2020) - [i50]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Construction of Behavior Graphs for Uncertain Event Data. CoRR abs/2002.08225 (2020) - [i49]Alessandro Berti, Wil M. P. van der Aalst:
A Novel Token-Based Replay Technique to Speed Up Conformance Checking and Process Enhancement. CoRR abs/2007.14237 (2020) - [i48]Alessandro Berti, Wil M. P. van der Aalst, David Zang, Magdalena Lang:
An Open-Source Integration of Process Mining Features into the Camunda Workflow Engine: Data Extraction and Challenges. CoRR abs/2009.06209 (2020) - [i47]Madhavi Bangalore Shankara Narayana, Hossameldin Khalifa, Wil M. P. van der Aalst:
JXES: JSON Support for the XES Event Log Standard. CoRR abs/2009.06363 (2020) - [i46]Majid Rafiei, Wil M. P. van der Aalst:
Practical Aspect of Privacy-Preserving Data Publishing in Process Mining. CoRR abs/2009.11542 (2020) - [i45]Daniel Schuster, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Alignment Approximation for Process Trees. CoRR abs/2009.14094 (2020) - [i44]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Conformance Checking over Uncertain Event Data. CoRR abs/2009.14452 (2020) - [i43]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Efficient Time and Space Representation of Uncertain Event Data. CoRR abs/2010.00334 (2020) - [i42]Mahsa Pourbafrani, Wil M. P. van der Aalst:
PMSD: Data-Driven Simulation Using System Dynamics and Process Mining. CoRR abs/2010.00943 (2020) - [i41]Wil M. P. van der Aalst, Alessandro Berti:
Discovering Object-Centric Petri Nets. CoRR abs/2010.02047 (2020) - [i40]Jing Yang, Chun Ouyang, Wil M. P. van der Aalst, Arthur H. M. ter Hofstede, Yang Yu:
OrgMining 2.0: A Novel Framework for Organizational Model Mining from Event Logs. CoRR abs/2011.12445 (2020) - [i39]Majid Rafiei, Wil M. P. van der Aalst:
Towards Quantifying Privacy in Process Mining. CoRR abs/2012.12031 (2020)
2010 – 2019
- 2019
- [j229]Oliver Hinz, Wil M. P. van der Aalst, Christof Weinhardt:
Blind Spots in Business and Information Systems Engineering. Bus. Inf. Syst. Eng. 61(2): 133-135 (2019) - [j228]Christof Weinhardt, Wil M. P. van der Aalst, Oliver Hinz:
Introducing Registered Reports to the Information Systems Community. Bus. Inf. Syst. Eng. 61(4): 381-384 (2019) - [j227]Wil M. P. van der Aalst, Oliver Hinz, Christof Weinhardt:
Big Digital Platforms - Growth, Impact, and Challenges. Bus. Inf. Syst. Eng. 61(6): 645-648 (2019) - [j226]Maikel L. van Eck, Natalia Sidorova, Wil M. P. van der Aalst:
Guided Interaction Exploration and Performance Analysis in Artifact-Centric Process Models. Bus. Inf. Syst. Eng. 61(6): 649-663 (2019) - [j225]Anna A. Kalenkova, Andrea Burattin, Massimiliano de Leoni, Wil M. P. van der Aalst, Alessandro Sperduti:
Discovering high-level BPMN process models from event data. Bus. Process. Manag. J. 25(5): 995-1019 (2019) - [j224]Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Repairing Outlier Behaviour in Event Logs using Contextual Behaviour. Enterp. Model. Inf. Syst. Archit. Int. J. Concept. Model. 14: 5:1-5:24 (2019) - [j223]Wil M. P. van der Aalst:
Lucent Process Models and Translucent Event Logs. Fundam. Informaticae 169(1-2): 151-177 (2019) - [j222]Sebastiaan J. van Zelst, Alfredo Bolt, Marwan Hassani, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
Online conformance checking: relating event streams to process models using prefix-alignments. Int. J. Data Sci. Anal. 8(3): 269-284 (2019) - [j221]Niek Tax, Emin Alasgarov, Natalia Sidorova, Reinder Haakma, Wil M. P. van der Aalst:
Generating time-based label refinements to discover more precise process models. J. Ambient Intell. Smart Environ. 11(2): 165-182 (2019) - [j220]Niek Tax, Natalia Sidorova, Wil M. P. van der Aalst:
Discovering more precise process models from event logs by filtering out chaotic activities. J. Intell. Inf. Syst. 52(1): 107-139 (2019) - [j219]Eduardo González López de Murillas, Hajo A. Reijers, Wil M. P. van der Aalst:
Connecting databases with process mining: a meta model and toolset. Softw. Syst. Model. 18(2): 1209-1247 (2019) - [j218]Wil M. P. van der Aalst, Josep Carmona, Thomas Chatain, Boudewijn F. van Dongen:
A Tour in Process Mining: From Practice to Algorithmic Challenges. Trans. Petri Nets Other Model. Concurr. 14: 1-35 (2019) - [j217]Anja F. Syring, Niek Tax, Wil M. P. van der Aalst:
Evaluating Conformance Measures in Process Mining Using Conformance Propositions. Trans. Petri Nets Other Model. Concurr. 14: 192-221 (2019) - [j216]Marwan Hassani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
On the application of sequential pattern mining primitives to process discovery: Overview, outlook and opportunity identification. Wiley Interdiscip. Rev. Data Min. Knowl. Discov. 9(6) (2019) - [c460]Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithms. ADBIS (Short Papers and Workshops) 2019: 391-404 - [c459]Alessandro Berti, Wil M. P. van der Aalst:
Reviving Token-based Replay: Increasing Speed While Improving Diagnostics. ATAED@Petri Nets/ACSD 2019: 87-103 - [c458]Lisa Luise Mannel, Wil M. P. van der Aalst:
Finding Complex Process-Structures by Exploiting the Token-Game. Petri Nets 2019: 258-278 - [c457]Alessandro Artale, Diego Calvanese, Marco Montali, Wil M. P. van der Aalst:
Enriching Data Models with Behavioral Constraints. Ontology Makes Sense 2019: 257-277 - [c456]Wil M. P. van der Aalst:
Everything You Always Wanted to Know About Petri Nets, but Were Afraid to Ask. BPM 2019: 3-9 - [c455]Marcus Dees, Massimiliano de Leoni, Wil M. P. van der Aalst, Hajo A. Reijers:
What if process predictions are not followed by good recommendations? BPM (Industry Forum) 2019: 61-72 - [c454]Christopher Klinkmüller, Alexander Ponomarev, An Binh Tran, Ingo Weber, Wil M. P. van der Aalst:
Mining Blockchain Processes: Extracting Process Mining Data from Blockchain Applications. BPM (Blockchain and CEE Forum) 2019: 71-86 - [c453]Sander J. J. Leemans, Anja F. Syring, Wil M. P. van der Aalst:
Earth Movers' Stochastic Conformance Checking. BPM Forum 2019: 127-143 - [c452]Mohammadreza Fani Sani, Alessandro Berti, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Filtering Toolkit: Interactively Filter Event Logs to Improve the Quality of Discovered Models. BPM (PhD/Demos) 2019: 134-138 - [c451]Alessandro Artale, Alisa Kovtunova, Marco Montali, Wil M. P. van der Aalst:
Modeling and Reasoning over Declarative Data-Aware Processes with Object-Centric Behavioral Constraints. BPM 2019: 139-156 - [c450]Alessandro Berti, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
PM4Py Web Services: Easy Development, Integration and Deployment of Process Mining Features in any Application Stack. BPM (PhD/Demos) 2019: 174-178 - [c449]Chiao-Yun Li, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
A Generic Approach for Process Performance Analysis Using Bipartite Graph Matching. Business Process Management Workshops 2019: 199-211 - [c448]Lisa Luise Mannel, Wil M. P. van der Aalst:
Finding Uniwired Petri Nets Using eST-Miner. Business Process Management Workshops 2019: 224-237 - [c447]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Discovering Process Models from Uncertain Event Data. Business Process Management Workshops 2019: 238-249 - [c446]Anastasiia Pika, Moe Thandar Wynn, Stephanus Budiono, Arthur H. M. ter Hofstede, Wil M. P. van der Aalst, Hajo A. Reijers:
Towards Privacy-Preserving Process Mining in Healthcare. Business Process Management Workshops 2019: 483-495 - [c445]Elisabetta Benevento, Prabhakar M. Dixit, Mohammadreza Fani Sani, Davide Aloini, Wil M. P. van der Aalst:
Evaluating the Effectiveness of Interactive Process Discovery in Healthcare: A Case Study. Business Process Management Workshops 2019: 508-519 - [c444]Majid Rafiei, Wil M. P. van der Aalst:
Mining Roles from Event Logs While Preserving Privacy. Business Process Management Workshops 2019: 676-689 - [c443]Mohammad Reza Harati Nik, Wil M. P. van der Aalst, Mohammadreza Fani Sani:
BIpm: Combining BI and Process Mining. DATA 2019: 123-128 - [c442]Cong Liu, Boudewijn F. van Dongen, Nour Assy, Wil M. P. van der Aalst:
A General Framework to Identify Software Components from Execution Data. ENASE 2019: 234-241 - [c441]Guangming Li, Renata Medeiros de Carvalho, Wil M. P. van der Aalst:
A Model-based Framework to Automatically Generate Semi-real Data for Evaluating Data Analysis Techniques. ICEIS (2) 2019: 213-220 - [c440]Marco Pegoraro, Wil M. P. van der Aalst:
Mining Uncertain Event Data in Process Mining. ICPM 2019: 89-96 - [c439]Vadim Denisov, Dirk Fahland, Wil M. P. van der Aalst:
Predictive Performance Monitoring of Material Handling Systems Using the Performance Spectrum. ICPM 2019: 137-144 - [c438]Junxiong Gao, Sebastiaan J. van Zelst, Xixi Lu, Wil M. P. van der Aalst:
Automated Robotic Process Automation: A Self-Learning Approach. OTM Conferences 2019: 95-112 - [c437]Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Fairness-Aware Process Mining. OTM Conferences 2019: 182-192 - [c436]Mahsa Pourbafrani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Scenario-Based Prediction of Business Processes Using System Dynamics. OTM Conferences 2019: 422-439 - [c435]Guangming Li, Renata Medeiros de Carvalho, Wil M. P. van der Aalst:
Object-centric behavioral constraint models: a hybrid model for behavioral and data perspectives. SAC 2019: 48-56 - [c434]Wil M. P. van der Aalst:
Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data. SEFM 2019: 3-25 - [c433]Alessandro Berti, Wil M. P. van der Aalst:
Extracting Multiple Viewpoint Models from Relational Databases. SIMPDA 2019: 24-51 - [c432]Majid Rafiei, Leopold von Waldthausen, Wil M. P. van der Aalst:
Supporting Confidentiality in Process Mining Using Abstraction and Encryption. SIMPDA 2019: 101-123 - [p22]Wil M. P. van der Aalst:
Discovering Petri Nets: A Personal Journey. Carl Adam Petri: Ideas, Personality, Impact 2019: 3-9 - [p21]Wil M. P. van der Aalst:
Structuring Behavior or Not, That is the Question. The Art of Structuring 2019: 221-226 - [e28]Wil M. P. van der Aalst, Vladimir Batagelj, Dmitry I. Ignatov, Michael Khachay, Valentina Kuskova, Andrey Kutuzov, Sergei O. Kuznetsov, Irina A. Lomazova, Natalia V. Loukachevitch, Amedeo Napoli, Panos M. Pardalos, Marcello Pelillo, Andrey V. Savchenko, Elena Tutubalina:
Analysis of Images, Social Networks and Texts - 8th International Conference, AIST 2019, Kazan, Russia, July 17-19, 2019, Revised Selected Papers. Lecture Notes in Computer Science 11832, Springer 2019, ISBN 978-3-030-37333-7 [contents] - [e27]Wil M. P. van der Aalst, Robin Bergenthum, Josep Carmona:
Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data 2019 Satellite event of the conferences: 40th International Conference on Application and Theory of Petri Nets and Concurrency Petri Nets 2019 and 19th International Conference on Application of Concurrency to System Design ACSD 2019, ATAED@Petri Nets/ACSD 2019, Aachen, Germany, June 25, 2019. CEUR Workshop Proceedings 2371, CEUR-WS.org 2019 [contents] - [e26]Benoît Depaire, Johannes De Smedt, Marlon Dumas, Dirk Fahland, Akhil Kumar, Henrik Leopold, Manfred Reichert, Stefanie Rinderle-Ma, Stefan Schulte, Stefan Seidel, Wil M. P. van der Aalst:
Proceedings of the Dissertation Award, Doctoral Consortium, and Demonstration Track at BPM 2019 co-located with 17th International Conference on Business Process Management, BPM 2019, Vienna, Austria, September 1-6, 2019. CEUR Workshop Proceedings 2420, CEUR-WS.org 2019 [contents] - [e25]Reiner Hähnle, Wil M. P. van der Aalst:
Fundamental Approaches to Software Engineering - 22nd International Conference, FASE 2019, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2019, Prague, Czech Republic, April 6-11, 2019, Proceedings. Lecture Notes in Computer Science 11424, Springer 2019, ISBN 978-3-030-16721-9 [contents] - [i38]Alessandro Berti, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Process Mining for Python (PM4Py): Bridging the Gap Between Process- and Data Science. CoRR abs/1905.06169 (2019) - [i37]Marcus Dees, Massimiliano de Leoni, Wil M. P. van der Aalst, Hajo A. Reijers:
What if Process Predictions are not followed by Good Recommendations? CoRR abs/1905.10173 (2019) - [i36]Mahnaz Sadat Qafari, Wil M. P. van der Aalst:
Fairness-Aware Process Mining. CoRR abs/1908.11451 (2019) - [i35]Anja F. Syring, Niek Tax, Wil M. P. van der Aalst:
Evaluating Conformance Measures in Process Mining using Conformance Propositions (Extended version). CoRR abs/1909.02393 (2019) - [i34]Marco Pegoraro, Merih Seran Uysal, Wil M. P. van der Aalst:
Discovering Process Models from Uncertain Event Data. CoRR abs/1909.11567 (2019) - [i33]Marco Pegoraro, Wil M. P. van der Aalst:
Mining Uncertain Event Data in Process Mining. CoRR abs/1910.00089 (2019) - [i32]Mohammadreza Fani Sani, Mathilde Boltenhagen, Wil M. P. van der Aalst:
Prototype Selection Based on Clustering and Conformance Metrics for Model Discovery. CoRR abs/1912.00736 (2019) - [i31]Mohammadreza Fani Sani, Sebastiaan J. van Zelst, Wil M. P. van der Aalst:
Conformance Checking Approximation using Subset Selection and Edit Distance. CoRR abs/1912.05022 (2019) - 2018
- [j215]Sherif Sakr, Zakaria Maamar, Ahmed Awad, Boualem Benatallah, Wil M. P. van der Aalst:
Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap. IEEE Access 6: 77308-77320 (2018) - [j214]Armin Heinzl, Wil M. P. van der Aalst, Martin Bichler:
Why the Community Should Care About Technology-Centric Journal Rankings. Bus. Inf. Syst. Eng. 60(2): 91-93 (2018) - [j213]Wil M. P. van der Aalst, Martin Bichler, Armin Heinzl:
Robotic Process Automation. Bus. Inf. Syst. Eng. 60(4): 269-272 (2018) - [j212]Wil M. P. van der Aalst, Jörg Becker, Martin Bichler, Hans Ulrich Buhl, Jens Dibbern, Ulrich Frank, Ulrich Hasenkamp, Armin Heinzl, Oliver Hinz, Kai-Lung Hui, Matthias Jarke, Dimitris Karagiannis, Natalia Kliewer, Wolfgang König, Jan Mendling, Peter Mertens, Matti Rossi, Stefan Voß, Christof Weinhardt, Robert Winter, Jelena Zdravkovic:
Views on the Past, Present, and Future of Business and Information Systems Engineering. Bus. Inf. Syst. Eng. 60(6): 443-477 (2018) - [j211]Wil M. P. van der Aalst:
Spreadsheets for business process management: Using process mining to deal with "events" rather than "numbers"? Bus. Process. Manag. J. 24(1): 105-127 (2018) - [j210]Mahdi Alizadeh, Xixi Lu, Dirk Fahland, Nicola Zannone, Wil M. P. van der Aalst:
Linking data and process perspectives for conformance analysis. Comput. Secur. 73: 172-193 (2018) - [j209]Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M. P. van der Aalst, H. M. W. Verbeek:
Discovering workflow nets using integer linear programming. Computing 100(5): 529-556 (2018) - [j208]Wil M. P. van der Aalst, Eike Best, Wojciech Penczek:
Preface. Fundam. Informaticae 161(4): i-ii (2018) - [j207]Niek Tax, Xixi Lu, Natalia Sidorova, Dirk Fahland, Wil M. P. van der Aalst:
The imprecisions of precision measures in process mining. Inf. Process. Lett. 135: 1-8 (2018) - [j206]Alfredo Bolt, Massimiliano de Leoni, Wil M. P. van der Aalst:
Process variant comparison: Using event logs to detect differences in behavior and business rules. Inf. Syst. 74(Part): 53-66 (2018) - [j205]Felix Mannhardt, Massimiliano de Leoni, Hajo A. Reijers, Wil M. P. van der Aalst, Pieter J. Toussaint:
Guided Process Discovery - A pattern-based approach. Inf. Syst. 76: 1-18 (2018) - [j204]Niek Tax, Benjamin Dalmas, Natalia Sidorova, Wil M. P. van der Aalst, Sylvie Norre:
Interest-driven discovery of local process models. Inf. Syst. 77: 105-117 (2018) - [j203]Wai Lam Jonathan Lee, H. M. W. Verbeek, Jorge Munoz-Gama, Wil M. P. van der Aalst, Marcos Sepúlveda:
Recomposing conformance: Closing the circle on decomposed alignment-based conformance checking in process mining. Inf. Sci. 466: 55-91 (2018) - [j202]Sebastiaan J. van Zelst, Boudewijn F. van Dongen, Wil M. P. van der Aalst:
Event stream-based process discovery using abstract representations. Knowl. Inf. Syst. 54(2): 407-435 (2018) - [j201]Sander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst:
Scalable process discovery and conformance checking. Softw. Syst. Model. 17(2): 599-631 (2018) - [j200]Jan Mendling, Ingo Weber, Wil M. P. van der Aalst, Jan vom Brocke, Cristina Cabanillas, Florian Daniel, Søren Debois, Claudio Di Ciccio, Marlon Dumas, Schahram Dustdar, Avigdor Gal, Luciano García-Bañuelos, Guido Governatori, Richard Hull, Marcello La Rosa, Henrik Leopold, Frank Leymann, Jan Recker, Manfred Reichert, Hajo A. Reijers, Stefanie Rinderle-Ma, Andreas Solti, Michael Rosemann, Stefan Schulte, Munindar P. Singh, Tijs Slaats, Mark Staples, Barbara Weber, Matthias Weidlich, Mathias Weske, Xiwei Xu, Liming Zhu:
Blockchains for Business Process Management - Challenges and Opportunities. ACM Trans. Manag. Inf. Syst. 9(1): 4:1-4:16 (2018) - [j199]Jianming Yong, Giancarlo Fortino, Weiming Shen, Yun Yang, Kuo-Ming Chao, Wil M. P. van der Aalst:
Special Issue on Service-Oriented Collaborative Computing and Applications. IEEE Trans. Serv. Comput. 11(2): 277-278 (2018) - [j198]