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Using multi-target feature evaluation to discover factors that affect business process behavior
16 references·0 citing·44 second hop
Using multi-target feature evaluation to discover factors that affect business process behavior (2018)Using multi-target feature evaluation to …Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs (2017)Data-Driven Process Discovery…IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams (2016)IEEE Standard for eXtensible …Data Science in Action (2016)Data Science in ActionA general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)A general process mining fram…Wanna improve process mining results? (2013)Wanna improve process mining …Data-aware process mining (2013)Data-aware process miningEfficient Discovery of Understandable Declarative Process Models from Event Logs (2012)Efficient Discovery of Unders…User-guided discovery of declarative process models (2011)User-guided discovery of decl…Process mining in flexible environments (2009)Process mining in flexible en…Discovering Process Models from Unlabelled Event Logs (2009)Discovering Process Models fr…Discovering simulation models (2008)Discovering simulation modelsContextualisation of business processes (2008)Contextualisation of business…DECLARE: Full Support for Loosely-Structured Processes (2007)DECLARE: Full Support for Loo…Process-aware information systems: bridging people and software through process technology (2006)Process-aware information sys…Decision Mining in ProM (2006)Decision Mining in ProMImproving Business Process Quality through Exception Understanding, Prediction, and Prevention (2001)Improving Business Process Qu…Process modeling (1992)Workflow Patterns (2003)A configurable reference modelling language (2005)Refactoring large process model repositories (2011)A quantitative and qualitative study of the link between business process management and digital innovation (2020)Building a complementary agenda for business process management and digital innovation (2020)Simulation Modeling and Analysis. (1983)Process innovation: reengineering work through information technology (1993)Reengineering the Corporation (1993)Workflow simulation for operational decision support (2009)Process Mining for the multi-faceted analysis of business processes—A case study in a financial services organization (2012)Automated discovery of business process simulation models from event logs (2020)Big data: The next frontier for innovation, competition, and productivity (2011)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Discovering role interaction models in the Emergency Room using Process Mining (2017)Autoencoders for improving quality of process event logs (2019)Event Log Preprocessing for Process Mining: A Review (2021)An overview of workflow management: From process modeling to workflow automation infrastructure (1995)Workflow mining: A survey of issues and approaches (2003)Time prediction based on process mining (2010)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Process Mining Manifesto (2012)Aligning Event Logs and Process Models for Multi-perspective Conformance Checking: An Approach Based on Integer Linear Programming (2013)Online conformance checking: relating event streams to process models using prefix-alignments (2017)Workflow mining: discovering process models from event logs (2004)Conformance checking of processes based on monitoring real behavior (2007)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Monitoring business constraints with the event calculus (2013)Declarative process mining in healthcare (2015)Business Process Intelligence (2003)Process mining techniques for analysing patterns and strategies in students’ self-regulated learning (2013)Replaying history on process models for conformance checking and performance analysis (2012)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Fundamentals of Business Process Management (2013)Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Predictive Process Monitoring (2022)Declarative workflows: Balancing between flexibility and support (2009)Process mining in healthcare: A literature review (2016)Digital transformation and the new logics of business process management (2020)Process mining in oncology: A literature review (2016)Process mining technology selection with spherical fuzzy AHP and sensitivity analysis (2021)Large Process Models: A Vision for Business Process Management in the Age of Generative AI (2024)
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References

  • 2006Process-aware information systems: bridging people and software through process technology617 cited
  • 2007DECLARE: Full Support for Loosely-Structured Processes583 cited
  • 2016Data Science in Action469 cited
  • 2006Decision Mining in ProM298 cited
  • 2008Discovering simulation models295 cited
  • 2008Contextualisation of business processes253 cited
  • 2015A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs251 cited
  • 2013Wanna improve process mining results?192 cited
  • 2013Data-aware process mining185 cited
  • 2011User-guided discovery of declarative process models169 cited
  • 2001Improving Business Process Quality through Exception Understanding, Prediction, and Prevention165 cited
  • 2012Efficient Discovery of Understandable Declarative Process Models from Event Logs162 cited
  • 2016IEEE Standard for eXtensible Event Stream (XES) for Achieving Interoperability in Event Logs and Event Streams145 cited
  • 2009Discovering Process Models from Unlabelled Event Logs126 cited
  • 2009Process mining in flexible environments106 cited

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2017
Data-Driven Process Discovery - Revealing Conditional Infrequent Behavior from Event Logs
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