Automating process discovery through event-data analysis
Proceedings of the 17th international conference on Software engineering
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)
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
On the discovery of process models from their instances
Decision Support Systems
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Discovering Workflow Performance Models from Timed Logs
EDCIS '02 Proceedings of the First International Conference on Engineering and Deployment of Cooperative Information Systems
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Computers in Industry - Special issue: Process/workflow mining
Discovering models of behavior for concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Discovering Expressive Process Models by Clustering Log Traces
IEEE Transactions on Knowledge and Data Engineering
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Mining most specific workflow models from event-based data
BPM'03 Proceedings of the 2003 international conference on Business process management
Generating a process model from a process audit log
BPM'03 Proceedings of the 2003 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
Mining hierarchies of models: from abstract views to concrete specifications
BPM'05 Proceedings of the 3rd international conference on Business Process Management
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
The prom framework: a new era in process mining tool support
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
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Process-oriented systems have been increasingly attracting data mining researchers, mainly due to the advantages that the application of inductive process mining techniques to log data could open to both the analysis of complex processes and the design of new process models. However, the actual impact of process mining in the industry is endangered by some simplifying assumptions these techniques relies on. In fact, current approaches have still problems to mine models over languages that allow for complex constructs, e.g., duplicate tasks, hidden tasks, non-free-choice constructs, and/or when noise is admitted in the log. In this paper, some advances to facing these problems are made, by proposing an algorithm which can deal with duplicate and hidden tasks, as well as with the presence of noise and non-free choice relationships among process activities. Importantly, due to the local nature of the search strategy exploited by the algorithm, the proposed approach seems suited to scale in real-world application scenarios.