The art of computer programming, volume 3: (2nd ed.) sorting and searching
The art of computer programming, volume 3: (2nd ed.) sorting and searching
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Adept_flex—Supporting Dynamic Changes of Workflows Without Losing Control
Journal of Intelligent Information Systems - Special issue on workflow management systems
Communications of the ACM
Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Case handling: a new paradigm for business process support
Data & Knowledge Engineering
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
Conformance checking of processes based on monitoring real behavior
Information Systems
Translating Message Sequence Charts to other Process Languages Using Process Mining
Transactions on Petri Nets and Other Models of Concurrency I
Information Systems
Process mining applied to the test process of wafer scanners in ASML
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
In situ evaluation of recommender systems: Framework and instrumentation
International Journal of Human-Computer Studies
Applying process mining in SOA environments
ICSOC/ServiceWave'09 Proceedings of the 2009 international conference on Service-oriented computing
Context-aware process mining framework for business process flexibility
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
An empirical comparison of static and dynamic business process mining
Proceedings of the 2011 ACM Symposium on Applied Computing
Dynamic context-aware Business Process flexibility: an artefact-based approach using process mining
International Journal of Business Intelligence and Data Mining
Process mining and security: visualization in database intrusion detection
PAISI'12 Proceedings of the 2012 Pacific Asia conference on Intelligence and Security Informatics
Empirical assessment of business model transformations based on model simulation
ICMT'12 Proceedings of the 5th international conference on Theory and Practice of Model Transformations
A framework for application of tree-structured data mining to process log analysis
IDEAL'12 Proceedings of the 13th international conference on Intelligent Data Engineering and Automated Learning
ERP event log preprocessing: timestamps vs. accounting logic
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
Application of tree-structured data mining for analysis of process logs in XML format
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
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The application of process mining techniques to real-life corporate environments has been of an ad-hoc nature so far, focused on proving the concept. One major reason for this rather slow adoption has been the complicated task of transforming real-life event log data to the MXML format used by advanced process mining tools, such as ProM. In this paper, the ProM Import Framework is presented, which has been designed to bridge this gap and to build a stable foundation for the extraction of event log data from any given PAIS implementation. Its flexible and extensible architecture, adherence to open standards, and open source availability make it a versatile contribution to the general BPI community.