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Optimizing customer journey using process mining and sequence-aware recommendation
9 references·1 citing·39 second hop
Optimizing customer journey using process mining and sequence-aware recommendation (2019)Optimizing customer journey using process…Analyzing Customer Journey with Process Mining: From Discovery to Recommendations (2018)Analyzing Customer Journey wi…Predicting process behaviour using deep learning (2017)Predicting process behaviour …Data Science in Action (2016)Data Science in ActionEfficient Process Discovery From Event Streams Using Sequential Pattern Mining (2015)Efficient Process Discovery F…Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour (2014)Discovering Block-Structured …Business Process Mining from E-Commerce Web Logs (2013)Business Process Mining from …Trace Clustering in Process Mining (2009)Trace Clustering in Process M…Supporting Flexible Processes through Recommendations Based on History (2008)Supporting Flexible Processes…Workflow mining: discovering process models from event logs (2004)Workflow mining: discovering …A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry (2024)A hybrid machine learning wit…The ProM Framework: A New Era in Process Mining Tool Support (2005)Process Mining Manifesto (2012)Scalable process discovery and conformance checking (2016)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Split miner: automated discovery of accurate and simple business process models from event logs (2018)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Analyzing and improving multi-robot missions by using process mining (2017)Efficient Event Correlation over Distributed Systems (2017)Enabling Interactive Process Analysis with Process Mining and Visual Analytics (2017)Adeptflex—Supporting Dynamic Changes of Workflows Without Losing Control (1998)Workflow mining: A survey of issues and approaches (2003)Beyond rigidity – dynamic process lifecycle support (2009)Beyond Process Mining: From the Past to Present and Future (2010)A recommendation system for predicting risks across multiple business process instances (2014)Conformance checking of processes based on monitoring real behavior (2007)Fuzzy Mining – Adaptive Process Simplification Based on Multi-perspective Metrics (2007)Context Aware Trace Clustering: Towards Improving Process Mining Results (2009)A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs (2012)Wanna improve process mining results? (2013)Flexible Heuristics Miner (FHM) (2011)Replaying history on process models for conformance checking and performance analysis (2012)Decision support from financial disclosures with deep neural networks and transfer learning (2017)Learning Accurate LSTM Models of Business Processes (2019)Process mining techniques and applications – A systematic mapping study (2019)Process Mining (2016)Understanding Customer Experience Throughout the Customer Journey (2016)Mapping the Patient’s Journey in Healthcare through Process Mining (2020)Deep customer segmentation with applications to a Vietnamese supermarkets’ data (2021)Time prediction based on process mining (2010)Process Mining (2012)Predictive Business Process Monitoring with LSTM Neural Networks (2017)Filtering Spurious Events from Event Streams of Business Processes (2018)Concept Drift Detection Of Event Streams Using An Adaptive Window (2019)Evaluation Goals for Online Process Mining: A Concept Drift Perspective (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

  • 2004Workflow mining: discovering process models from event logs2,206 cited
  • 2016Data Science in Action469 cited
  • 2014Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour458 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2009Trace Clustering in Process Mining364 cited
  • 2008Supporting Flexible Processes through Recommendations Based on History192 cited
  • 2018Analyzing Customer Journey with Process Mining: From Discovery to Recommendations66 cited
  • 2013Business Process Mining from E-Commerce Web Logs64 cited
  • 2015Efficient Process Discovery From Event Streams Using Sequential Pattern Mining53 cited

Cited by

  • 2024A hybrid machine learning with process analytics for predicting customer experience in online insurance services industry26 cited

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