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Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities
12 references·2 citing·42 second hopsampled
Learning to Act: A Reinforcement Learning Approach to Recommend the Best Next Activities (2022)Learning to Act: A Reinforcement Learning…Triggering Proactive Business Process Adaptations via Online Reinforcement Learning (2020)Triggering Proactive Business…Prescriptive Business Process Monitoring for Recommending Next Best Actions (2020)Prescriptive Business Process…Design and Evaluation of a Process-aware Recommender System based on Prescriptive Analytics (2020)Design and Evaluation of a Pr…Proactive Process Adaptation Using Deep Learning Ensembles (2019)Proactive Process Adaptation …Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm (2019)Prediction-based Resource All…Predictive Process Monitoring Methods: Which One Suits Me Best? (2018)Predictive Process Monitoring…Alarm-Based Prescriptive Process Monitoring (2018)Alarm-Based Prescriptive Proc…Context-Aware Analysis of Past Process Executions to Aid Resource Allocation Decisions (2016)Context-Aware Analysis of Pas…Balanced multi-perspective checking of process conformance (2015)Balanced multi-perspective ch…Prescriptive Analytics for Recommendation-Based Business Process Optimization (2014)Prescriptive Analytics for Re…Predictive Monitoring of Business Processes (2014)Predictive Monitoring of Busi…Reinforcement learning based resource allocation in business process management (2010)Reinforcement learning based …Achieving framed autonomy in AI-augmented business process management systems through automated planning (2025)Achieving framed autonomy in …Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring (2023)Automatically reconciling the…management information system (2000)Business Process Intelligence (2003)Time prediction based on process mining (2010)Prescriptive analytics: a survey of emerging trends and technologies (2019)Prescriptive process monitoring: Quo vadis ? (2022)A Declarative Approach for Flexible Business Processes Management (2006)DECLARE: Full Support for Loosely-Structured Processes (2007)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)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)THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Proposed NIST standard for role-based access control (2001)Workflow Patterns (2003)Elastic Business Process Management: State of the art and open challenges for BPM in the cloud (2014)Human resource allocation in business process management and process mining (2018)Portfolio management system in equity market neutral using reinforcement learning (2021)Procedures for Performing Systematic Reviews (2004)Process Mining Manifesto (2012)Process Mining (2016)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)Predictive Process Monitoring (2022)A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs (2015)Clustering-Based Predictive Process Monitoring (2016)Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction (2021)Predicting process behaviour using deep learning (2017)Predictive Business Process Monitoring with LSTM Neural Networks (2017)Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns (2023)Prescriptive process monitoring based on causal effect estimation (2023)Proceedings of the 18th European conference on information systems (ECIS2010) (2010)Process Mining: Data Science in Action (2016)Fire now, fire later: alarm-based systems for prescriptive process monitoring (2021)Predictive process monitoring: concepts, challenges, and future research directions (2024)Outcome-Oriented Predictive Process Monitoring (2019)Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach (2022)Predictive compliance monitoring in process-aware information systems: State of the art, functionalities, research directions (2023)Process data properties matter: Introducing gated convolutional neural networks (GCNN) and key-value-predict attention networks (KVP) for next event prediction with deep learning (2021)Machine learning in business process management: A systematic literature review (2024)
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References

  • 2014Predictive Monitoring of Business Processes305 cited
  • 2015Balanced multi-perspective checking of process conformance222 cited
  • 2018Predictive Process Monitoring Methods: Which One Suits Me Best?175 cited
  • 2010Reinforcement learning based resource allocation in business process management153 cited
  • 2014Prescriptive Analytics for Recommendation-Based Business Process Optimization76 cited
  • 2020Prescriptive Business Process Monitoring for Recommending Next Best Actions64 cited
  • 2019Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm62 cited
  • 2018Alarm-Based Prescriptive Process Monitoring46 cited
  • 2020Triggering Proactive Business Process Adaptations via Online Reinforcement Learning45 cited
  • 2019Proactive Process Adaptation Using Deep Learning Ensembles39 cited
  • 2020Design and Evaluation of a Process-aware Recommender System based on Prescriptive Analytics38 cited
  • 2016Context-Aware Analysis of Past Process Executions to Aid Resource Allocation Decisions27 cited

Cited by

  • 2025Achieving framed autonomy in AI-augmented business process management systems through automated planning14 cited
  • 2023Automatically reconciling the trade-off between prediction accuracy and earliness in prescriptive business process monitoring

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13 cited