References

• 2016Ontology-Driven Extraction of Event Logs from Relational Databases71 cited
• 2016Using Life Cycle Information in Process Discovery52 cited
• 2016Complex Symbolic Sequence Clustering and Multiple Classifiers for Predictive Process Monitoring49 cited
• 2016A Framework for Recommending Resource Allocation Based on Process Mining47 cited
• 2016Deriving Decision Models from Process Models by Enhanced Decision Mining42 cited
• 2016Clustering Traces Using Sequence Alignment39 cited
• 2016Detecting Deviating Behaviors Without Models37 cited
• 2016Deducing Case IDs for Unlabeled Event Logs35 cited
• 2016Discovering Queues from Event Logs with Varying Levels of Information28 cited
• 2016Integrated Process and Decision Modeling for Data-Driven Processes27 cited
• 2016Automated Resource Allocation in Business Processes with Answer Set Programming22 cited
• 2016Using Event Logs to Model Interarrival Times in Business Process Simulation20 cited
• 2016Enabling Dynamic Decision Making in Business Processes with DMN19 cited
• 2016PMCube: A Data-Warehouse-Based Approach for Multidimensional Process Mining17 cited
• 2016A GSM-based Approach for Monitoring Cross-Organization Business Processes Using Smart Objects