Communications of the ACM
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Automating the Discovery of As-Is Business Process Models: Probabilistic and Algorithmic Approaches
Information Systems Research
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
A framework for requirents monitoring of service based systems
Proceedings of the 2nd international conference on Service oriented computing
Associating assertions with business processes and monitoring their execution
Proceedings of the 2nd international conference on Service oriented computing
Smart monitors for composed services
Proceedings of the 2nd international conference on Service oriented computing
Business process mining: An industrial application
Information Systems
Conformance checking of processes based on monitoring real behavior
Information Systems
Product Based Workflow Support: Dynamic Workflow Execution
CAiSE '08 Proceedings of the 20th international conference on Advanced Information Systems Engineering
Supporting Flexible Processes through Recommendations Based on History
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Cycle Time Prediction: When Will This Case Finally Be Finished?
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Information Systems
Workflow simulation for operational decision support
Data & Knowledge Engineering
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
ProM 4.0: comprehensive support for real process analysis
ICATPN'07 Proceedings of the 28th international conference on Applications and theory of Petri nets and other models of concurrency
Time prediction based on process mining
Information Systems
An iterative approach for business process template synthesis from compliance rules
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Monitoring business constraints with linear temporal logic: an approach based on colored automata
BPM'11 Proceedings of the 9th international conference on Business process management
Mashups and widget orchestration
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
Classification of surgical processes using dynamic time warping
Journal of Biomedical Informatics
An operational decision support framework for monitoring business constraints
FASE'12 Proceedings of the 15th international conference on Fundamental Approaches to Software Engineering
Replaying history on process models for conformance checking and performance analysis
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Implementing design principles for collaborative ERP systems
DESRIST'12 Proceedings of the 7th international conference on Design Science Research in Information Systems: advances in theory and practice
PETRI NETS'12 Proceedings of the 33rd international conference on Application and Theory of Petri Nets
On the definition and design-time analysis of process performance indicators
Information Systems
A State-Based Intention Driven Declarative Process Model
International Journal of Information System Modeling and Design
Improving business process decision making based on past experience
Decision Support Systems
| Hi-index | 0.00 |
Traditionally, process mining has been used to extract models from event logs and to check or extend existing models. This has shown to be useful for improving processes and their IT support. Process mining techniques analyze historic information hidden in event logs to provide surprising insights for managers, system developers, auditors, and end users. However, thus far, process mining is mainly used in an offline fashion and not for operational decision support. While existing process mining techniques focus on the process as a whole, this paper focuses on individual process instances (cases) that have not yet completed. For these running cases, process mining can used to check conformance, predict the future, and recommend appropriate actions. This paper presents a framework for operational support using process mining and details a coherent set of approaches that focuses on time information. Time-based operational support can be used to detect deadline violations, predict the remaining processing time, and recommend activities that minimize flow times. All of this has been implemented in ProM and initial experiences using this toolset are reported in this paper.