Discovering Block-Structured Process Models from Event Logs - A Constructive Approach
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- 1 January 2013
- book chapter
- conference paper
- Published by Springer Science and Business Media LLC in Lecture Notes in Computer Science
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This publication has 25 references indexed in Scilit:
- Discovering Block-Structured Process Models from Event Logs - A Constructive ApproachLecture Notes in Computer Science, 2013
- Analysis on demand: Instantaneous soundness checking of industrial business process modelsData & Knowledge Engineering, 2011
- Process Mining: Overview and Outlook of Petri Net Discovery AlgorithmsLecture Notes in Computer Science, 2009
- Process Discovery Using Integer Linear ProgrammingLecture Notes in Computer Science, 2008
- The Need for a Process Mining Evaluation Framework in Research and PracticeLecture Notes in Computer Science, 2008
- Mining process models with non-free-choice constructsData Mining and Knowledge Discovery, 2007
- Genetic process mining: an experimental evaluationData Mining and Knowledge Discovery, 2007
- Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective MetricsLecture Notes in Computer Science, 2007
- Workflow mining: discovering process models from event logsIEEE Transactions on Knowledge and Data Engineering, 2004
- Deriving Petri nets from finite transition systemsIEEE Transactions on Computers, 1998