Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Software process validation: quantitatively measuring the correspondence of a process to a model
ACM Transactions on Software Engineering and Methodology (TOSEM)
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Modular Analysis of Systems Composed of Semiautonomous Subsystems
ACSD '04 Proceedings of the Fourth International Conference on Application of Concurrency to System Design
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
Conformance checking of processes based on monitoring real behavior
Information Systems
A Region-Based Algorithm for Discovering Petri Nets from Event Logs
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Using minimum description length for process mining
Proceedings of the 2009 ACM symposium on Applied Computing
The refined process structure tree
Data & Knowledge Engineering
Robust Process Discovery with Artificial Negative Events
The Journal of Machine Learning Research
Divide-and-Conquer Strategies for Process Mining
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Process Discovery using Integer Linear Programming
Fundamenta Informaticae - Petri Nets 2008
Process mining based on regions of languages
BPM'07 Proceedings of the 5th international conference on Business process management
A fresh look at precision in process conformance
BPM'10 Proceedings of the 8th international conference on Business process management
Process mining meets abstract interpretation
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Simplified computation and generalization of the refined process structure tree
WS-FM'10 Proceedings of the 7th international conference on Web services and formal methods
Cost-Based Fitness in Conformance Checking
ACSD '11 Proceedings of the 2011 Eleventh International Conference on Application of Concurrency to System Design
Conformance Checking Using Cost-Based Fitness Analysis
EDOC '11 Proceedings of the 2011 IEEE 15th International Enterprise Distributed Object Computing Conference
BPM'06 Proceedings of the 4th international conference on Business Process Management
Process mining from a basis of state regions
PETRI NETS'10 Proceedings of the 31st international conference on Applications and Theory of Petri Nets
Distributed data mining on grids: services, tools, and applications
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Towards distributed verification of petri nets properties
VECoS'07 Proceedings of the First international conference on Verification and Evaluation of Computer and Communication Systems
Distributed process discovery and conformance checking
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
Decomposing process mining problems using passages
PETRI NETS'12 Proceedings of the 33rd international conference on Application and Theory of Petri Nets
Hierarchical conformance checking of process models based on event logs
PETRI NETS'13 Proceedings of the 34th international conference on Application and Theory of Petri Nets and Concurrency
Conformance checking in the large: partitioning and topology
BPM'13 Proceedings of the 11th international conference on Business Process Management
Decomposing Petri nets for process mining: A generic approach
Distributed and Parallel Databases
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The two most prominent process mining tasks are process discovery i.e., learning a process model from an event log and conformance checking i.e., diagnosing and quantifying differences between observed and modeled behavior. The increasing availability of event data makes these tasks highly relevant for process analysis and improvement. Therefore, process mining is considered to be one of the key technologies for Business Process Management BPM. However, as event logs and process models grow, process mining becomes more challenging. Therefore, we propose an approach to decompose process mining problems into smaller problems using the notion of passages. A passage is a pair of two non-empty sets of activities X, Y such that the set of direct successors of X is Y and the set of direct predecessors of Y is X. Any Petri net can be partitioned using passages. Moreover, process discovery and conformance checking can be done per passage and the results can be aggregated. This has advantages in terms of efficiency and diagnostics. Moreover, passages can be used to distribute process mining problems over a network of computers. Passages are supported through ProM plug-ins that automatically decompose process discovery and conformance checking tasks.