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Ton Weijters

Observed names: A. J. M. M. (Ton) Weijters, A. J. M. M. Ton Weijters, A. J. M. M. Weijters, A. WEIJTERS, A. Weijters, A.J.M.M Weijters, A.J.M.M. Weijter, A.J.M.M. Weijters, AJ.M.M. Weijters, Ajmm Ton Weijters, T. Weijters, Ton Weijters Geerhard, Weijters, A., Weijters, AJMM Ton, Weijters, T, Weijters, T., Weijters, Ton
OpenAlex ID: A5011157930
Workflow mining: discovering process models from event logs
2004 · W. van der Aalst, T. Weijters, et al. · IEEE Transactions on Knowledge and Data Engineering · 2,204
Process Mining Manifesto
2012 · Wil van der Aalst, Arya Adriansyah, et al. · Lecture notes in business information processing · 1,209
Workflow mining: A survey of issues and approaches
2003 · W.M.P. van der Aalst, B.F. van Dongen, et al. · Data & Knowledge Engineering · 1,052
The ProM Framework: A New Era in Process Mining Tool Support
2005 · B. F. van Dongen, A. K. A. de Medeiros, et al. · Lecture notes in computer science · 929
Business process mining: An industrial application
2006 · W.M.P. van der Aalst, H.A. Reijers, et al. · Information Systems · 783
Process mining: a research agenda
2003 · W.M.P. van der Aalst, A.J.M.M. Weijters · Computers in Industry · 652
Flexible Heuristics Miner (FHM)
2011 · A.J.M.M. Weijters, J.T.S. Ribeiro · IEEE Symposium on Computational Intelligence and Data Mining (CIDM) · 494
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Genetic process mining: an experimental evaluation
2007 · A. K. A. de Medeiros, A. J. M. M. Weijters, et al. · Data Mining and Knowledge Discovery · 490
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Process mining with the HeuristicsMiner algorithm
2006 · A.J.M.M. Weijters, van der W.M.P. Aalst, et al. · TU/e Research Portal · 484
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Rediscovering workflow models from event-based data using little thumb
2003 · A.J.M.M. Weijters, W.M.P van der Aalst · Integrated Computer-Aided Engineering · 468
Genetic Process Mining
2005 · W. M. P. van der Aalst, A. K. Alves de Medeiros, et al. · Lecture notes in computer science · 335
ProM : the process mining toolkit
2009 · Wil M. P. van der Aalst, Boudewijn F. van Dongen, et al. · BPM (Demos) · 283
Process Equivalence: Comparing Two Process Models Based on Observed Behavior
2006 · W. M. P. van der Aalst, A. K. Alves de Medeiros, et al. · Lecture notes in computer science · 189
ProM 4.0: Comprehensive Support for Real Process Analysis
2007 · W. M. P. van der Aalst, B. F. van Dongen, et al. · Lecture notes in computer science · 183
IGTree: Using Trees for Compression and Classification in Lazy Learning Algorithms
1997 · Walter Daelemans, Antal Van Den Bosch, et al. · Artificial Intelligence Review · 166
Process mining : extending the alpha-algorithm to mine short loops
2004 · Ana Karla Alves de Medeiros, van B.F. Dongen, et al. · 146
Artificial Neural Networks: An Introduction to Ann Theory and Practice
1995 · Peter J. Braspenning, Frank Thuijsman, et al. · 140
Process mining: discovering workflow models from event-based data
2001 · A.J.M.M. Weijters, Wil M. P. van der Aalst · 139
Quantifying process equivalence based on observed behavior
2007 · A.K. Alves de Medeiros, W.M.P. van der Aalst, et al. · Data & Knowledge Engineering · 133
Workflow Mining: Current Status and Future Directions
2003 · A. K. A. de Medeiros, W. M. P. van der Aalst, et al. · Lecture notes in computer science · 133
Process Mining Based on Clustering: A Quest for Precision
2008 · Ana Karla Alves de Medeiros, Antonella Guzzo, et al. · Lecture notes in computer science · 125
The Need for a Process Mining Evaluation Framework in Research and Practice
2008 · Anne Rozinat, Ana Karla Alves de Medeiros, et al. · Lecture notes in computer science · 102
A Rule-Based Approach for Process Discovery: Dealing with Noise and Imbalance in Process Logs
2006 · Laura Măruşter, A. J. M. M. Weijters, et al. · Data Mining and Knowledge Discovery · 95
Genetic Process Mining: A Basic Approach and Its Challenges
2006 · A. K. Alves de Medeiros, A. J. M. M. Weijters, et al. · Lecture notes in computer science · 81
Process Mining: Discovering Direct Successors in Process Logs
2002 · Laura Maruster, A. J. M. M. Ton Weijters, et al. · Lecture notes in computer science · 73
Works count: 186
Citation count: 12,310
H-index: 36
I10-index: 59
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