Predictive Business Process Monitoring

[1]  Minseok Song,et al.  Analysis and Prediction Cost of Manufacturing Process Based on Process Mining , 2016, 2016 International Conference on Industrial Engineering, Management Science and Application (ICIMSA).

[2]  Fabrizio Maria Maggi,et al.  Intra and Inter-case Features in Predictive Process Monitoring: A Tale of Two Dimensions , 2017, BPM.

[3]  Shiping Chen,et al.  A test-bed for the evaluation of business process prediction techniques , 2011, 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom).

[4]  Hui Lei,et al.  Event-Driven Quality of Service Prediction , 2008, ICSOC.

[5]  Moe Thandar Wynn,et al.  Profiling Event Logs to Configure Risk Indicators for Process Delays , 2013, CAiSE.

[6]  Fabrizio Maria Maggi,et al.  Complex Symbolic Sequence Clustering and Multiple Classifiers for Predictive Process Monitoring , 2016, Business Process Management Workshops.

[7]  Fabio Casati,et al.  Predictive Business Operations Management , 2005, DNIS.

[8]  Alessandro Sperduti,et al.  Time and activity sequence prediction of business process instances , 2016, Computing.

[9]  Bokyoung Kang,et al.  Real-time business process monitoring using formal concept analysis , 2011, Ind. Manag. Data Syst..

[10]  Fabrizio Maria Maggi,et al.  An Eye into the Future: Leveraging A-priori Knowledge in Predictive Business Process Monitoring , 2017, BPM.

[11]  Moe Thandar Wynn,et al.  Predicting Deadline Transgressions Using Event Logs , 2012, Business Process Management Workshops.

[12]  Eugenio Cesario,et al.  A Cloud-Based Prediction Framework for Analyzing Business Process Performances , 2016, CD-ARES.

[13]  Wil M. P. van der Aalst,et al.  Supporting Risk-Informed Decisions during Business Process Execution , 2013, CAiSE.

[14]  Marlon Dumas,et al.  Predictive Business Process Monitoring with LSTM Neural Networks , 2016, CAiSE.

[15]  Klaus Pohl,et al.  Comparing and Combining Predictive Business Process Monitoring Techniques , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[16]  Fabrizio Maria Maggi,et al.  Predictive Business Process Monitoring Framework with Hyperparameter Optimization , 2016, CAiSE.

[17]  Fabrizio Maria Maggi,et al.  Complex Symbolic Sequence Encodings for Predictive Monitoring of Business Processes , 2015, BPM.

[18]  Jan Mendling,et al.  Predictive Task Monitoring for Business Processes , 2014, BPM.

[19]  Marco Montali,et al.  An Operational Decision Support Framework for Monitoring Business Constraints , 2012, FASE.

[20]  Francesco Folino,et al.  Discovering High-Level Performance Models for Ticket Resolution Processes , 2013, OTM Conferences.

[21]  Fabrizio Maria Maggi,et al.  Clustering-Based Predictive Process Monitoring , 2015, IEEE Transactions on Services Computing.

[22]  Fabrizio Maria Maggi,et al.  Predictive Business Process Monitoring with Structured and Unstructured Data , 2016, BPM.

[23]  Raffaele Conforti,et al.  PRISM - A Predictive Risk Monitoring Approach for Business Processes , 2016, BPM.

[24]  Wil M. P. van der Aalst,et al.  Time prediction based on process mining , 2011, Inf. Syst..

[25]  Wil M. P. van der Aalst,et al.  A recommendation system for predicting risks across multiple business process instances , 2015, Decis. Support Syst..

[26]  Michelangelo Ceci,et al.  Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining , 2014, Discovery Science.

[27]  Wil M. P. van der Aalst,et al.  A general process mining framework for correlating, predicting and clustering dynamic behavior based on event logs , 2016, Inf. Syst..

[28]  Alessandro Sperduti,et al.  Data-aware remaining time prediction of business process instances , 2014, 2014 International Joint Conference on Neural Networks (IJCNN).

[29]  Bokyoung Kang,et al.  Real-time business process monitoring method for prediction of abnormal termination using KNNI-based LOF prediction , 2012, Expert Syst. Appl..

[30]  Marco Montali,et al.  Runtime Verification of LTL-Based Declarative Process Models , 2011, RV.

[31]  Marco Montali,et al.  Monitoring Business Constraints with Linear Temporal Logic: An Approach Based on Colored Automata , 2011, BPM.

[32]  Matthias Weidlich,et al.  Queue mining for delay prediction in multi-class service processes , 2015, Inf. Syst..

[33]  Jana-Rebecca Rehse,et al.  Predicting process behaviour using deep learning , 2016, Decis. Support Syst..

[34]  Miguel Toro,et al.  Run-time prediction of business process indicators using evolutionary decision rules , 2017, Expert Syst. Appl..

[35]  Mathias Weske,et al.  Prediction of business process durations using non-Markovian stochastic Petri nets , 2015, Inf. Syst..

[36]  Schahram Dustdar,et al.  Data-driven and automated prediction of service level agreement violations in service compositions , 2013, Distributed and Parallel Databases.

[37]  Boudewijn F. van Dongen,et al.  Cycle Time Prediction: When Will This Case Finally Be Finished? , 2008, OTM Conferences.

[38]  Fabrizio Maria Maggi,et al.  Predictive Monitoring of Business Processes , 2013, CAiSE.

[39]  Francesco Folino,et al.  Discovering Context-Aware Models for Predicting Business Process Performances , 2012, OTM Conferences.

[40]  Mathias Weske,et al.  Prediction of Remaining Service Execution Time Using Stochastic Petri Nets with Arbitrary Firing Delays , 2013, ICSOC.

[41]  Mathias Weske,et al.  Event-Based Monitoring of Process Execution Violations , 2011, BPM.