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Keyword

process discovery

Description: A process-mining method that infers business process models from event data, logs, or related observations.
Wikidata ID: wiki/Q1017580
OpenAlex ID: keywords/process-discovery
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
2016 · Wil van der Aalst · Springer eBooks · 2,160
Fundamentals of Business Process Management
2018 · Marlon Dumas, Marcello La Rosa, et al. · Springer eBooks · 1,831
Process Mining
2011 · Wil M. P. van der Aalst · Springer eBooks · 1,803
Process Mining: Discovery, Conformance and Enhancement of Business Processes
2011 · Wil M. P. van der Aalst · CERN Document Server (European Organization for Nuclear Research) · 1,725
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
Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics
2007 · Christian W. Günther, Wil M. P. van der Aalst · Lecture notes in computer science · 890
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Mining process models from workflow logs
1998 · Rakesh Agrawal, Dimitrios Gunopulos, et al. · Lecture notes in computer science · 799
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
Discovering Block-Structured Process Models from Event Logs - A Constructive Approach
2013 · Sander J. J. Leemans, Dirk Fahland, et al. · Lecture notes in computer science · 647
Time prediction based on process mining
2010 · W.M.P. van der Aalst, M.H. Schonenberg, et al. · Information Systems · 507
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
2012 · Wil van der Aalst · ACM Transactions on Management Information Systems · 487
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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Data Science in Action
2016 · Wil van der Aalst · Springer eBooks · 469
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
Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour
2014 · Sander J. J. Leemans, Dirk Fahland, et al. · Lecture notes in business information processing · 458
Process mining: a two-step approach to balance between underfitting and overfitting
2008 · W. M. P. van der Aalst, V. Rubin, et al. · Software & Systems Modeling · 440
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Trace Clustering in Process Mining
2009 · Minseok Song, Christian W. Günther, et al. · Lecture notes in business information processing · 364
Process Discovery Using Integer Linear Programming
2008 · J. M. E. M. van der Werf, B. F. van Dongen, et al. · Lecture notes in computer science · 336
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Genetic Process Mining
2005 · W. M. P. van der Aalst, A. K. Alves de Medeiros, et al. · Lecture notes in computer science · 335
Discovering expressive process models by clustering log traces
2006 · G. Greco, A. Guzzo, et al. · IEEE Transactions on Knowledge and Data Engineering · 321
Works count: 4,397
Citation count: 62,560
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