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Striking a new Balance in Accuracy and Simplicity with the Probabilistic Inductive Miner
16 references·2 citing·36 second hop
Striking a new Balance in Accuracy and Simplicity with the Probabilistic Inductive Miner (2021)Striking a new Balance in Accuracy and Si…Information-preserving abstractions of event data in process mining (2019)Information-preserving abstra…A practitioner’s guide to process mining: Limitations of the directly-follows graph (2019)A practitioner’s guide to pro…Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs (2018)Split Miner: Automated Discov…Conformance Checking (2018)Conformance CheckingAutomated discovery of structured process models from event logs: The discover-and-structure approach (2018)Automated discovery of struct…Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Automated Discovery of Proces…Fodina: A robust and flexible heuristic process discovery technique (2017)Fodina: A robust and flexible…Process Mining (2016)Process MiningExploring Processes and Deviations (2015)Exploring Processes and Devia…Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity (2014)Quality Dimensions in Process…Discovering Block-Structured Process Models from Incomplete Event Logs (2014)Discovering Block-Structured …Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Discovering Block-Structured …Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Discovering Block-Structured …A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs (2012)A multi-dimensional quality a…Seven process modeling guidelines (7PMG) (2009)Seven process modeling guidel…Process mining with the HeuristicsMiner algorithm (2006)Process mining with the Heuri…Process Mining Meets Visual Analytics: The Case of Conformance Checking (2023)Process Mining Meets Visual A…An Approximate Inductive Miner (2023)An Approximate Inductive MinerWorkflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)The ProM Framework: A New Era in Process Mining Tool Support (2005)Process Mining: Overview and Outlook of Petri Net Discovery Algorithms (2009)Active Trace Clustering for Improved Process Discovery (2013)Process Mining Manifesto (2012)Scalable process discovery and conformance checking (2016)Split miner: automated discovery of accurate and simple business process models from event logs (2018)Dilemmas in a general theory of planning (1973)Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)Seven Paradoxes of Business Process Management in a Hyper-Connected World (2020)A Five-Level Framework for Research on Process Mining (2021)PM4Py: A process mining library for Python (2023)The Scree Test For The Number Of Factors (1966)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Comprehensible Predictive Models for Business Processes1 (2016)Process modeling (1992)An overview of workflow management: From process modeling to workflow automation infrastructure (1995)Workflow Patterns (2003)BPMN: An introduction to the standard (2011)Enabling Flexibility in Process-Aware Information Systems (2012)Strategy archetypes for digital transformation: Defining meta objectives using business process management (2020)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Extracting Event Data from Databases to Unleash Process Mining (2015)Scalable Process Discovery with Guarantees (2015)Enabling value stream mapping for internal logistics using multidimensional process mining (2019)Process mining in healthcare: A literature review (2016)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Process mining for healthcare: Characteristics and challenges (2022)Object-Centric Process Mining: Dealing with Divergence and Convergence in Event Data (2019)Event abstraction in process mining: literature review and taxonomy (2020)Process Mining: A 360 Degree Overview (2022)Outcome-Oriented Predictive Process Monitoring (2019)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)
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References

  • 2016Process Mining2,166 cited
  • 2013Discovering Block-Structured Process Models from Event Logs - A Constructive Approach648 cited
  • 2009Seven process modeling guidelines (7PMG)626 cited
  • 2006Process mining with the HeuristicsMiner algorithm484 cited
  • 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour458 cited
  • 2018Automated Discovery of Process Models from Event Logs: Review and Benchmark440 cited
  • 2018Conformance Checking334 cited
  • 2014Quality Dimensions in Process Discovery: The Importance of Fitness, Precision, Generalization and Simplicity216 cited
  • 2012A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs215 cited
  • 2014Discovering Block-Structured Process Models from Incomplete Event Logs176 cited
  • 2019A practitioner’s guide to process mining: Limitations of the directly-follows graph148 cited
  • 2017Fodina: A robust and flexible heuristic process discovery technique141 cited
  • 2018Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs92 cited
  • 2018Automated discovery of structured process models from event logs: The discover-and-structure approach59 cited

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2015
Exploring Processes and Deviations
51 cited
  • 2019Information-preserving abstractions of event data in process mining25 cited
  • Cited by

    • 2023An Approximate Inductive Miner16 cited
    • 2023Process Mining Meets Visual Analytics: The Case of Conformance Checking14 cited