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A survey on the application of process discovery techniques to smart spaces data
16 references·0 citing·39 second hop
A survey on the application of process discovery techniques to smart spaces data (2023)A survey on the application of process di…The biggest business process management problems to solve before we die (2023)The biggest business process …Process mining for healthcare: Characteristics and challenges (2022)Process mining for healthcare…A Survey on Concept Drift in Process Mining (2021)A Survey on Concept Drift in …Event abstraction in process mining: literature review and taxonomy (2020)Event abstraction in process …Conformance checking (2019)Conformance checkingAutomated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Automated Discovery of Proces…Event Abstraction for Process Mining Using Supervised Learning Techniques (2017)Event Abstraction for Process…Discovering role interaction models in the Emergency Room using Process Mining (2017)Discovering role interaction …Bluetooth tracking of humans in an indoor environment: An application to shopping mall visits (2016)Bluetooth tracking of humans …Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches (2014)Knowledge-Intensive Processes…Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Discovering Block-Structured …Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes (2013)Process Mining for Individual…Fundamentals of Business Process Management (2013)Fundamentals of Business Proc…Flexible Heuristics Miner (FHM) (2011)Flexible Heuristics Miner (FH…A literature review on business process modelling: new frontiers of reusability (2011)A literature review on busine…Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Fuzzy Mining – Adaptive Proce…Workflow mining: A survey of issues and approaches (2003)The ProM Framework: A New Era in Process Mining Tool Support (2005)Predicting process behaviour using deep learning (2017)Split miner: automated discovery of accurate and simple business process models from event logs (2018)Workflow mining: discovering process models from event logs (2004)Process Mining Manifesto (2012)Scalable process discovery and conformance checking (2016)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Workflow Patterns (2003)On the Discovery of Declarative Control Flows for Artful Processes (2015)Fundamentals of Business Process Management (2018)The Internet of Things Meets Business Process Management: A Manifesto (2020)Process Mining (2016)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)BPMN: An introduction to the standard (2011)Process Mining: Data Science in Action (2016)Event Log Preprocessing for Process Mining: A Review (2021)Utilizing domain knowledge in data-driven process discovery: A literature review (2022)Optimal Detection of Changepoints With a Linear Computational Cost (2012)Selective review of offline change point detection methods (2019)Explainable concept drift in process mining (2023)Robotic process automation using process mining — A systematic literature review (2023)A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches) (2024)The Triple Aim: Care, Health, And Cost (2008)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2020)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)Declarative Process Specifications: Reasoning, Discovery, Monitoring (2022)Exploring the potential of OMOP common data model for process mining in healthcare (2023)Process bottlenecks identification and its root cause analysis using fusion-based clustering and knowledge graph (2023)Science in Action: How to Follow Scientists and Engineers through Society (1988)What a difference a word makes: Understanding threats to performance in a VUCA world (2014)BPM challenges, limitations and future development directions – a systematic literature review (2024)Supply chain digitalization, green technology innovation and corporate energy efficiency (2024)Digital transformation and business model innovation: the relevance of strategic orientations under varying conditions of competitive intensity (2025)Time prediction based on process mining (2010)Discovering Block-Structured Process Models from Event Logs - A Constructive Approach (2013)Process mining in healthcare: A literature review (2016)The Six Core Elements of Business Process Management (2014)A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)
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References

  • 2013Fundamentals of Business Process Management1,344 cited
  • 2007Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics890 cited
  • 2011Flexible Heuristics Miner (FHM)494 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
  • 2014Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches312 cited
  • 2022Process mining for healthcare: Characteristics and challenges290 cited
  • 2020Event abstraction in process mining: literature review and taxonomy172 cited
  • 2023The biggest business process management problems to solve before we die164 cited
  • 2021A Survey on Concept Drift in Process Mining122 cited
  • 2017Event Abstraction for Process Mining Using Supervised Learning Techniques101 cited
  • 2011A literature review on business process modelling: new frontiers of reusability100 cited
  • 2013Process Mining for Individualized Behavior Modeling Using Wireless Tracking in Nursing Homes93 cited
  • 2019Conformance checking93 cited
  • 2016Bluetooth tracking of humans in an indoor environment: An application to shopping mall visits

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89 cited
  • 2017Discovering role interaction models in the Emergency Room using Process Mining85 cited
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