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Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining
11 references·0 citing·42 second hop
Fuzzy Clustering Based on Activity Sequence and Cycle Time in Process Mining (2025)Fuzzy Clustering Based on Activity Sequen…SIMOD: Automated discovery of business process simulation models (2025)SIMOD: Automated discovery of…Cart-State-Aware Discovery of E-Commerce Visitor Journeys with Process Mining (2024)Cart-State-Aware Discovery of…The biggest business process management problems to solve before we die (2023)The biggest business process …A review on customer segmentation methods for personalized customer targeting in e-commerce use cases (2023)A review on customer segmenta…Explainable Process Prescriptive Analytics (2022)Explainable Process Prescript…Process mining applications in the healthcare domain: A comprehensive review (2021)Process mining applications i…Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey (2021)Customer Behavior Analysis by…Segmentation of Retail Consumers with Soft Clustering Approach (2020)Segmentation of Retail Consum…Data Science in Action (2016)Data Science in ActionBalanced multi-perspective checking of process conformance (2015)Balanced multi-perspective ch…Process Mining: Fuzzy Clustering and Performance Visualization (2010)Process Mining: Fuzzy Cluster…Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)A Framework for the Analysis of Process Mining Algorithms (2013)A Comparative Analysis of Process Instance Cluster Techniques (2015)ProcessProfiler3D: A visualisation framework for log-based process performance comparison (2017)Conformance checking of processes based on monitoring real behavior (2007)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Conformance checking based on multi-perspective declarative process models (2016)Extraction, correlation, and abstraction of event data for process mining (2019)Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction (2020)Product Differentiation and Market Segmentation as Alternative Marketing Strategies (1956)Market Segmentation: A Review (1987)Market segments based on the dominant movement patterns of tourists (2009)Simulation modeling and analysis (1999)Procedures for Performing Systematic Reviews (2004)Learning uncertainty with artificial neural networks for predictive process monitoring (2022)DARWIN: An online deep learning approach to handle concept drifts in predictive process monitoring (2023)A review of AI and machine learning contribution in business process management (process enhancement and process improvement approaches) (2024)Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Monitoring of Business Processes: A Survey (2017)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)Fundamentals of Business Process Management (2018)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)A NEW MEASURE OF RANK CORRELATION (1938)Organizing knowledge syntheses: A taxonomy of literature reviews (1988)Web of Science use in published research and review papers 1997–2017: a selective, dynamic, cross-domain, content-based analysis (2017)RFM model customer segmentation based on hierarchical approach using FCA (2023)Consumer segmentation with large language models (2024)Data Quality in the Age of AI: A Review of Governance, Ethics, and the FAIR Principles (2025)Buying, Searching, or Browsing: Differentiating Between Online Shoppers Using In-Store Navigational Clickstream (2003)Seven process modeling guidelines (7PMG) (2009)Process Mining (2016)Discovering simulation models (2008)Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)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

  • 2016Data Science in Action469 cited
  • 2015Balanced multi-perspective checking of process conformance222 cited
  • 2023The biggest business process management problems to solve before we die164 cited
  • 2023A review on customer segmentation methods for personalized customer targeting in e-commerce use cases163 cited
  • 2010Process Mining: Fuzzy Clustering and Performance Visualization64 cited
  • 2021Process mining applications in the healthcare domain: A comprehensive review55 cited
  • 2025SIMOD: Automated discovery of business process simulation models18 cited
  • 2022Explainable Process Prescriptive Analytics17 cited
  • 2024Cart-State-Aware Discovery of E-Commerce Visitor Journeys with Process Mining12 cited
  • 2020Segmentation of Retail Consumers with Soft Clustering Approach9 cited
  • 2021Customer Behavior Analysis by Intuitionistic Fuzzy Segmentation: Comparison of Two Major Cities in Turkey8 cited

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