SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Multi-perspective enriched instance graphs for next activity prediction through graph neural network
16 references·0 citing·33 second hop
Multi-perspective enriched instance graphs for next activity prediction through graph neural network (2023)Multi-perspective enriched instance graph…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Learning Accurate LSTM Models of Business Processes (2019)Learning Accurate LSTM Models…Time and activity sequence prediction of business process instances (2018)Time and activity sequence pr…Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Predictive Process Monitoring…Predictive Monitoring of Business Processes: A Survey (2017)Predictive Monitoring of Busi…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …An Eye into the Future: Leveraging A-priori Knowledge in Predictive Business Process Monitoring (2017)An Eye into the Future: Lever…Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…Discovering Block-Structured Process Models from Incomplete Event Logs (2014)Discovering Block-Structured …A markov prediction model for data-driven semi-structured business processes (2013)A markov prediction model for…Conformance Checking Using Cost-Based Fitness Analysis (2011)Conformance Checking Using Co…Time prediction based on process mining (2010)Time prediction based on proc…Beyond Process Mining: From the Past to Present and Future (2010)Beyond Process Mining: From t…Multi-phase Process Mining: Building Instance Graphs (2004)Multi-phase Process Mining: B…Workflow mining: A survey of issues and approaches (2003)Workflow mining: A survey of …A Declarative Approach for Flexible Business Processes Management (2006)DECLARE: Full Support for Loosely-Structured Processes (2007)A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes (2015)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)Conformance checking of processes based on monitoring real behavior (2007)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)On the Role of Fitness, Precision, Generalization and Simplicity in Process Discovery (2012)Scalable process discovery and conformance checking (2016)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 (2012)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Business Process Management: A Survey (2003)Workflow Patterns (2003)The ProM Framework: A New Era in Process Mining Tool Support (2005)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)Process mining techniques and applications – A systematic mapping study (2019)Business Process Intelligence (2003)Process Mining (2016)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Procedures for Performing Systematic Reviews (2004)Fundamentals of Business Process Management (2018)The biggest business process management problems to solve before we die (2023)Towards comprehensive support for organizational mining (2008)Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction (2020)Predictive Process Monitoring (2022)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)
this work references cited by second hop

References

  • 2003Workflow mining: A survey of issues and approaches1,052 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2010Time prediction based on process mining507 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2011Conformance Checking Using Cost-Based Fitness Analysis393 cited
  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2014Predictive Monitoring of Business Processes305 cited
  • 2017Predictive Monitoring of Business Processes: A Survey279 cited
  • 2019Learning Accurate LSTM Models of Business Processes241 cited
  • 2014Discovering Block-Structured Process Models from Incomplete Event Logs176 cited
  • 2018Predictive Process Monitoring Methods: Which One Suits Me Best?175 cited
  • 2004Multi-phase Process Mining: Building Instance Graphs148 cited
  • 2018Time and activity sequence prediction of business process instances138 cited
  • 2010Beyond Process Mining: From the Past to Present and Future125 cited
  • 2013A markov prediction model for data-driven semi-structured business processes120 cited
  • 2017

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

An Eye into the Future: Leveraging A-priori Knowledge in Predictive Business Process Monitoring
117 cited

Cited by

No citing works inside the corpus for this window.