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A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs
7 references·16 citing·38 second hop
A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)A general process mining framework for co…Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…Fundamentals of Business Process Management (2013)Fundamentals of Business Proc…Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Discovering Block-Structured …Replaying history on process models for conformance checking and performance analysis (2012)Replaying history on process …Time prediction based on process mining (2010)Time prediction based on proc…Decision Mining in ProM (2006)Decision Mining in ProMProcess Mining and Verification of Properties: An Approach Based on Temporal Logic (2005)Process Mining and Verificati…Predictive process monitoring: concepts, challenges, and future research directions (2024)Predictive process monitoring…Machine learning in business process management: A systematic literature review (2024)Machine learning in business …Object-Centric Process Mining: Unraveling the Fabric of Real Processes (2023)Object-Centric Process Mining…Predictive Process Monitoring (2022)Predictive Process MonitoringFire now, fire later: alarm-based systems for prescriptive process monitoring (2021)Fire now, fire later: alarm-b…An extended model for remaining time prediction in manufacturing systems using process mining (2020)An extended model for remaini…Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Survey and Cross-benchmark Co…Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm (2019)Prediction-based Resource All…From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring (2019)From knowledge-driven to data…Temporal stability in predictive process monitoring (2018)Temporal stability in predict…How is process mining technology used by organizations? A systematic literature review of empirical studies (2018)How is process mining technol…Run-time prediction of business process indicators using evolutionary decision rules (2017)Run-time prediction of busine…Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)Intra and Inter-case Features…Discovering Causal Factors Explaining Business Process Performance Variation (2017)Discovering Causal Factors Ex…Discovery of Multi-perspective Declarative Process Models (2016)Discovery of Multi-perspectiv…A framework for efficiently mining the organisational perspective of business processes (2016)A framework for efficiently m…A Declarative Approach for Flexible Business Processes Management (2006)DECLARE: Full Support for Loosely-Structured Processes (2007)Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes (2015)Comprehensible Predictive Models for Business Processes1 (2016)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Conformance checking of processes based on monitoring real behavior (2007)Process Mining (2012)Predictive Monitoring of Business Processes: A Survey (2017)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Predicting process behaviour using deep learning (2017)Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control (1998)Artifact-Centric Business Process Models: Brief Survey of Research Results and Challenges (2008)Efficient Compliance Checking Using BPMN-Q and Temporal Logic (2008)PM4Py: A process mining library for Python (2023)Business Process Intelligence (2003)Discovering simulation models (2008)Decomposing Petri nets for process mining: A generic approach (2013)Process mining techniques for analysing patterns and strategies in students’ self-regulated learning (2013)Process Mining (2016)Predictive Business Process Monitoring with LSTM Neural Networks (2017)A Novel Business Process Prediction Model Using a Deep Learning Method (2018)A Multi-View Deep Learning Approach for Predictive Business Process Monitoring (2021)Procedures for Performing Systematic Reviews (2004)Another look at measures of forecast accuracy (2006)Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction (2020)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Business process variant analysis: Survey and classification (2021)The ProM Framework: A New Era in Process Mining Tool Support (2005)Foundations of Process Event Data (2022)A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches) (2024)Process mining in healthcare: A literature review (2016)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches (2014)The Six Core Elements of Business Process Management (2014)Business process performance measurement: a structured literature review of indicators, measures and metrics (2016)
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References

  • 2013Fundamentals of Business Process Management1,344 cited
  • 2012Replaying history on process models for conformance checking and performance analysis738 cited
  • 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach648 cited
  • 2010Time prediction based on process mining507 cited
  • 2014Predictive Monitoring of Business Processes305 cited
  • 2006Decision Mining in ProM298 cited
  • 2005Process Mining and Verification of Properties: An Approach Based on Temporal Logic293 cited

Cited by

  • 2019Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring207 cited
  • 2022Predictive Process Monitoring129 cited
  • 2017Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions105 cited
  • 2023Object-Centric Process Mining: Unraveling the Fabric of Real Processes85 cited
  • 2016Discovery of Multi-perspective Declarative Process Models76 cited
  • 2018How is process mining technology used by organizations? A systematic literature review of empirical studies74 cited
  • 2017Run-time prediction of business process indicators using evolutionary decision rules69 cited
  • 2016

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A framework for efficiently mining the organisational perspective of business processes
66 cited
  • 2020An extended model for remaining time prediction in manufacturing systems using process mining64 cited
  • 2019Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm62 cited
  • 2019From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring59 cited
  • 2024Predictive process monitoring: concepts, challenges, and future research directions58 cited
  • 2018Temporal stability in predictive process monitoring58 cited
  • 2021Fire now, fire later: alarm-based systems for prescriptive process monitoring56 cited
  • 2024Machine learning in business process management: A systematic literature review54 cited
  • 2017Discovering Causal Factors Explaining Business Process Performance Variation53 cited