Keyword

process mining

Description: Process mining is a data analysis technique that uses event data to discover, monitor, and improve processes in organizations and information systems.

Primary topic: Business Process Modeling and Analysis (76%)

Wikidata ID: wiki/Q2608526

OpenAlex ID: keywords/process-mining

Workflow mining: discovering process models from event logs

2004 · W. van der Aalst, T. Weijters, et al. · IEEE Transactions on Knowledge and Data Engineering · 2,205

Process Mining

2016 · Wil van der Aalst · Springer eBooks · 2,162

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

Roles of artificial intelligence in construction engineering and management: A critical review and future trends

2020 · Yue Pan, Limao Zhang · Automation in Construction · 1,214

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

Discovering models of software processes from event-based data

1998 · Jonathan E. Cook, Alexander L. Wolf · ACM Transactions on Software Engineering and Methodology · 870

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Process Mining: Data Science in Action

2016 · Wil M. P. van der Aalst · CERN Document Server (European Organization for Nuclear Research) · 866

Mining process models from workflow logs

1998 · Rakesh Agrawal, Dimitrios Gunopulos, et al. · Lecture notes in computer science · 799

Replaying history on process models for conformance checking and performance analysis

2012 · Wil van der Aalst, Arya Adriansyah, et al. · Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 737

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 · 648

Process mining in healthcare: A literature review

2016 · Eric Rojas, Jorge Munoz-Gama, et al. · Journal of Biomedical Informatics · 613

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2010 · Remco Dijkman, Marlon Dumas, et al. · Information Systems · 611

Declarative workflows: Balancing between flexibility and support

2009 · W. M. P. van der Aalst, M. Pesic, et al. · Computer Science - Research and Development · 531

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A BIM-data mining integrated digital twin framework for advanced project management

2021 · Yue Pan, Limao Zhang · Automation in Construction · 519

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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Business process analysis in healthcare environments: A methodology based on process mining

2011 · Álvaro Rebuge, Diogo R. Ferreira · Information Systems · 494

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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Formal Ontology in Information Systems

2025 · Nicola Guarino, Corso Stati Uniti · Frontiers in artificial intelligence and applications · 470

Works count: 14,580

Citation count: 140,100