Automating process discovery through event-data analysis
Proceedings of the 17th international conference on Software engineering
Behavior-consistent specialization of object life cycles
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
Discovering Workflow Performance Models from Timed Logs
EDCIS '02 Proceedings of the First International Conference on Engineering and Deployment of Cooperative Information Systems
An Alternative Way to Analyze Workflow Graphs
CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering
Integrating Light-Weight Workflow Management Systems within Existing Business Environments
ICDE '99 Proceedings of the 15th International Conference on Data Engineering
Defining specialization for dataflow diagrams
Information Systems
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
iBOM: A Platform for Intelligent Business Operation Management
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Mining frequent instances on workflows
PAKDD'03 Proceedings of the 7th Pacific-Asia conference on Advances in knowledge discovery and data mining
Behavior consistent inheritance in UML
ER'00 Proceedings of the 19th international conference on Conceptual modeling
Discovering Expressive Process Models by Clustering Log Traces
IEEE Transactions on Knowledge and Data Engineering
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Mining taxonomies of process models
Data & Knowledge Engineering
Automatic Extraction of Process Control Flow from I/O Operations
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Process Mining towards Semantics
Advances in Web Semantics I
POIROT: acquiring workflows by combining models learned from interpreted traces
Proceedings of the fifth international conference on Knowledge capture
Abstractions in Process Mining: A Taxonomy of Patterns
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Discovering expressive process models from noised log data
IDEAS '09 Proceedings of the 2009 International Database Engineering & Applications Symposium
A context driven approach for workflow mining
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Approaching process mining with sequence clustering: experiments and findings
BPM'07 Proceedings of the 5th international conference on Business process management
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Process mining techniques have been receiving great attention in the literature for their ability to automatically support process (re)design. The output of these techniques is a concrete workflow schema that models all the possible execution scenarios registered in the logs, and that can be profitably used to support further-coming enactments. In this paper, we face process mining in a slightly different perspective. Indeed, we propose an approach to process mining that combines novel discovery strategies with abstraction methods, with the aim of producing hierarchical views of the process that satisfactorily capture its behavior at different level of details. Therefore, at the highest level of detail, the mined model can support the design of concrete workflows; at lower levels of detail, the views can be used in advanced business process platforms to support monitoring and analysis. Our approach consists of several algorithms which have been integrated into a systems architecture whose description is accounted for in the paper as well.