An overview of workflow management: from process modeling to workflow automation infrastructure
Distributed and Parallel Databases - Special issue on software support for work flow management
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Event-based detection of concurrency
SIGSOFT '98/FSE-6 Proceedings of the 6th ACM SIGSOFT international symposium on Foundations of software engineering
Software process validation: quantitatively measuring the correspondence of a process to a model
ACM Transactions on Software Engineering and Methodology (TOSEM)
A Knowledge-based Approach to Handling Exceptions inWorkflow Systems
Computer Supported Cooperative Work
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Discovering Workflow Performance Models from Timed Logs
EDCIS '02 Proceedings of the First International Conference on Engineering and Deployment of Cooperative Information Systems
Process Miner - A Tool for Mining Process Schemes from Event-Based Data
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
ER '96 Proceedings of the 15th International Conference on Conceptual Modeling
Process Mining: Discovering Direct Successors in Process Logs
DS '02 Proceedings of the 5th International Conference on Discovery Science
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Quantifying process equivalence based on observed behavior
Data & Knowledge Engineering
A case study on process modelling - Three questions and three techniques
Decision Support Systems
On Measuring Process Model Similarity Based on High-Level Change Operations
ER '08 Proceedings of the 27th International Conference on Conceptual Modeling
Process Mining towards Semantics
Advances in Web Semantics I
σ-algorithm: structured workflow process mining through amalgamating temporal workcases
PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining
Fraud detection in process aware systems
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
Process equivalence: comparing two process models based on observed behavior
BPM'06 Proceedings of the 4th international conference on Business Process Management
Detecting implicit dependencies between tasks from event logs
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
A workflow mining method through model rewriting
CRIWG'05 Proceedings of the 11th international conference on Groupware: design, Implementation, and Use
On web services workflow mining
BPM'05 Proceedings of the Third international conference on Business Process Management
On Utilizing Web Service Equivalence for Supporting the Composition Life Cycle
International Journal of Web Services Research
Service Oriented Computing and Applications
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Workflow systems utilize a process model for managing business processes. The model is typically a directed graph annotated with activity names. We view the execution of an activity as a time interval, and present two new algorithms for synthesizing process models from sets of systems' executions (audit log). A model graph generated by each of the algorithms for a process, captures all its executions and dependencies that are present in the log, and preserves existing parallelism.We compare the model graphs synthesized by our algorithms to those of Agrawal et al. [Mining process models from workflow logs, in: Proceedings of the Advances in Database Technology (EDBT'98), 6th International Conference on Extending Database Technology, Valencia, Spain, 23-27 March 1998, Lecture Notes in Computer Science, Proceedings vol. 1377, Springer, Berlin, 1998] by running them on simulated data. We observe that our graphs are more faithful in the sense that the number of excess and absent edges is consistently smaller and it depends on the size and quality of the log. In other words, we show that our time interval approach permits reconstruction of more accurate workflow model graphs from a log.