Scalable Process Discovery with GuaranteesSander J. J. Leemans, Dirk Fahland, Wil M. P. van der Aalst2015-01-01otherLecture notes in business information processing80 citationsclosedNo readable copy stored yet — this record is metadata only.Business Process Modeling and AnalysisModel-Driven Software Engineering TechniquesData Mining Algorithms and ApplicationsAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 80 citations exist upstream.References2004Workflow mining: discovering process models from event logs2011Process Mining2011Process Mining: Discovery, Conformance and Enhancement of Business Processes2012Replaying history on process models for conformance checking and performance analysis2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour2008Process Discovery Using Integer Linear Programming2007Mining process models with non-free-choice constructsCited by2018A process mining approach to improve emergency rescue processes of fatal gas explosion accidents in Chinese coal mines2018Process discovery from event data: Relating models and logs through abstractions2021Visual Drift Detection for Event Sequence Data of Business Processes2016A Recursive Paradigm for Aligning Observed Behavior of Large Structured Process Models2023Quantifying chatbots’ ability to learn business processes2018How Much Event Data Is Enough? A Statistical Framework for Process Discovery2021Evaluating Trace Encoding Methods in Process Mining2021Discovering Stochastic Process Models by Reduction and Abstraction