SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Predicting process behavior meets factorization machines
16 references·1 citing·34 second hop
Predicting process behavior meets factorization machines (2018)Predicting process behavior meets factori…Fundamentals of Business Process Management (2018)Fundamentals of Business Proc…Predictive Business Process Monitoring with LSTM Neural Networks (2017)Predictive Business Process M…Predicting process behaviour using deep learning (2017)Predicting process behaviour …A Deep Learning Approach for Predicting Process Behaviour at Runtime (2017)A Deep Learning Approach for …Process Mining: Data Science in Action (2016)Process Mining: Data Science …Comprehensible Predictive Models for Business Processes1 (2016)Comprehensible Predictive Mod…Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…Determining process model precision and generalization with weighted artificial negative events (2014)Determining process model pre…Fundamentals of Business Process Management (2013)Fundamentals of Business Proc…A markov prediction model for data-driven semi-structured business processes (2013)A markov prediction model for…Process Discovery: Capturing the Invisible (2010)Process Discovery: Capturing …Modern Business Process Automation: YAWL and Its Support Environment (2010)Modern Business Process Autom…Robust Process Discovery with Artificial Negative Events (2009)Robust Process Discovery with…Robust Process Discovery with Artificial Negative Events (2009)Robust Process Discovery with…Modern Business Process Automation (2009)Modern Business Process Autom…Business Process Management : Concepts, Languages, Architectures (2007)Business Process Management :…Predicting remaining execution time of business process instances via auto-encoded transition system (2022)Predicting remaining executio…A Declarative Approach for Flexible Business Processes Management (2006)DECLARE: Full Support for Loosely-Structured Processes (2007)Time prediction based on process mining (2010)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)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Workflow mining: discovering process models from event logs (2004)Conformance checking of processes based on monitoring real behavior (2007)Towards Robust Conformance Checking (2011)Model repair — aligning process models to reality (2014)Fodina: A robust and flexible heuristic process discovery technique (2017)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Big Data: A Survey (2014)Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction (2020)Smart Products: Conceptual Review, Synthesis, and Research Directions* (2020)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)Change patterns and change support features – Enhancing flexibility in process-aware information systems (2008)Business Process Management: A Comprehensive Survey (2013)Approaches to modeling business processes: a critical analysis of BPMN, workflow patterns and YAWL (2011)Alignment Based Precision Checking (2013)Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches (2014)The Six Core Elements of Business Process Management (2010)Outcome-Oriented Predictive Process Monitoring (2019)Strategy archetypes for digital transformation: Defining meta objectives using business process management (2020)Process mining techniques and applications – A systematic mapping study (2019)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)Process mining for healthcare: Characteristics and challenges (2022)Learning Accurate LSTM Models of Business Processes (2019)The Six Core Elements of Business Process Management (2014)
this work references cited by second hop

References

  • 2018Fundamentals of Business Process Management1,831 cited
  • 2007Business Process Management : Concepts, Languages, Architectures1,653 cited
  • 2013Fundamentals of Business Process Management1,344 cited
  • 2016Process Mining: Data Science in Action866 cited
  • 2017Predictive Business Process Monitoring with LSTM Neural Networks554 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2009Modern Business Process Automation326 cited
  • 2014Predictive Monitoring of Business Processes305 cited
  • 2016Comprehensible Predictive Models for Business Processes1188 cited
  • 2009Robust Process Discovery with Artificial Negative Events169 cited
  • 2013A markov prediction model for data-driven semi-structured business processes120 cited
  • 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime105 cited
  • 2010Modern Business Process Automation: YAWL and Its Support Environment100 cited
  • 2014Determining process model precision and generalization with weighted artificial negative events92 cited
  • 2010Process Discovery: Capturing the Invisible88 cited
  • 2009

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

Robust Process Discovery with Artificial Negative Events
85 cited

Cited by

  • 2022Predicting remaining execution time of business process instances via auto-encoded transition system17 cited