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Comparing and Combining Predictive Business Process Monitoring Techniques
4 references·16 citing·47 second hop
Comparing and Combining Predictive Business Process Monitoring Techniques (2014)Comparing and Combining Predictive Busine…Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays (2013)Prediction of Remaining Servi…An overview of business intelligence technology (2011)An overview of business intel…Time prediction based on process mining (2010)Time prediction based on proc…Business Process Intelligence (2003)Business Process IntelligencePredictive compliance monitoring in process-aware information systems: State of the art, functionalities, research directions (2023)Predictive compliance monitor…Fire now, fire later: alarm-based systems for prescriptive process monitoring (2021)Fire now, fire later: alarm-b…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…Outcome-Oriented Predictive Process Monitoring with Attention-Based Bidirectional LSTM Neural Networks (2019)Outcome-Oriented Predictive P…Temporal stability in predictive process monitoring (2018)Temporal stability in predict…Process Forecasting: Towards Proactive Business Process Management (2018)Process Forecasting: Towards …Deep Learning Process Prediction with Discrete and Continuous Data Features (2018)Deep Learning Process Predict…Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap (2018)Business Process Analytics an…Alarm-Based Prescriptive Process Monitoring (2018)Alarm-Based Prescriptive Proc…A Novel Business Process Prediction Model Using a Deep Learning Method (2018)A Novel Business Process Pred…From event streams to process models and back: Challenges and opportunities (2017)From event streams to process…Event-based failure prediction in distributed business processes (2017)Event-based failure predictio…A Multi-stage Deep Learning Approach for Business Process Event Prediction (2017)A Multi-stage Deep Learning A…A Deep Learning Approach for Predicting Process Behaviour at Runtime (2017)A Deep Learning Approach for …Predictive Business Process Monitoring with Structured and Unstructured Data (2016)Predictive Business Process M…Business Process Management : Concepts, Languages, Architectures (2007)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)Queue mining for delay prediction in multi-class service processes (2015)Using Convolutional Neural Networks for Predictive Process Analytics (2019)Predictive Process Monitoring (2022)An overview of data warehousing and OLAP technology (1997)Big Data: A Survey (2014)Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014)Debating big data: A literature review on realizing value from big data (2017)Workflow mining: A survey of issues and approaches (2003)Workflow mining: discovering process models from event logs (2004)Conformance checking of processes based on monitoring real behavior (2007)Process Mining (2012)Predictive Monitoring of Business Processes: A Survey (2017)Perspectives on Behavior-Based versus Outcome-Based Salesforce Control Systems (1987)Mining process models with non-free-choice constructs (2007)Process mining: a two-step approach to balance between underfitting and overfitting (2008)Trace Clustering in Process Mining (2009)Empirical study of topic modeling in Twitter (2010)Fundamentals of Business Process Management (2013)Benchmarking state-of-the-art classification algorithms for credit scoring: An update of research (2015)Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions (2017)An empirical comparison of classification techniques for next event prediction using business process event logs (2019)From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring (2019)Predictive Monitoring of Business Processes (2014)BINet: Multi-perspective business process anomaly classification (2019)Product backorder prediction using deep neural network on imbalanced data (2021)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Predicting process behaviour using deep learning (2017)Predictive Business Process Monitoring with LSTM Neural Networks (2017)An interdisciplinary comparison of sequence modeling methods for next-element prediction (2020)Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring (2023)Workflow Patterns (2003)Fundamentals of Business Process Management (2018)IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution (2020)Towards IoT-driven Process Event Log Generation for Conformance Checking in Smart Factories (2020)Applying MAPE-K control loops for adaptive workflow management in smart factories (2023)Competing on analytics: the new science of winning (2007)Competing on Analytics: The New Science of Winning (2007)Positioning and Presenting Design Science Research for Maximum Impact1 (2013)Predicting performances in business processes using deep neural networks (2019)Creating business value with process mining (2022)Process Mining (2016)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)Prescriptive process monitoring: Quo vadis ? (2022)Machine learning in business process management: A systematic literature review (2024)
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References

  • 2011An overview of business intelligence technology763 cited
  • 2003Business Process Intelligence538 cited
  • 2010Time prediction based on process mining507 cited
  • 2013Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays129 cited

Cited by

  • 2016Predictive Business Process Monitoring with Structured and Unstructured Data108 cited
  • 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime105 cited
  • 2018A Novel Business Process Prediction Model Using a Deep Learning Method104 cited
  • 2017From event streams to process models and back: Challenges and opportunities77 cited
  • 2017A Multi-stage Deep Learning Approach for Business Process Event Prediction63 cited
  • 2019Prediction-based Resource Allocation using LSTM and Minimum Cost and Maximum Flow Algorithm62 cited
  • 2018Temporal stability in predictive process monitoring58 cited
  • 2021Fire now, fire later: alarm-based systems for prescriptive process monitoring56 cited
  • 2018Process Forecasting: Towards Proactive Business Process Management47 cited
  • 2018Alarm-Based Prescriptive Process Monitoring46 cited
  • 2019Outcome-Oriented Predictive Process Monitoring with Attention-Based Bidirectional LSTM Neural Networks

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46 cited
  • 2017Event-based failure prediction in distributed business processes45 cited
  • 2019Proactive Process Adaptation Using Deep Learning Ensembles39 cited
  • 2018Business Process Analytics and Big Data Systems: A Roadmap to Bridge the Gap36 cited
  • 2023Predictive compliance monitoring in process-aware information systems: State of the art, functionalities, research directions34 cited
  • 2018Deep Learning Process Prediction with Discrete and Continuous Data Features32 cited