Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Principles of data mining
The EDIFACT Standards
EDI: Total Management Guide
Mining Sequential Patterns: Generalizations and Performance Improvements
EDBT '96 Proceedings of the 5th International Conference on Extending Database Technology: Advances in Database Technology
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Automating the Discovery of As-Is Business Process Models: Probabilistic and Algorithmic Approaches
Information Systems Research
Web services navigator: visualizing the execution of web services
IBM Systems Journal
Discovering Expressive Process Models by Clustering Log Traces
IEEE Transactions on Knowledge and Data Engineering
Business process mining: An industrial application
Information Systems
Rediscovering workflow models from event-based data using little thumb
Integrated Computer-Aided Engineering
EDI, XML and e-business frameworks: A survey
Computers in Industry
Conformance checking of service behavior
ACM Transactions on Internet Technology (TOIT)
Automatic Extraction of Process Control Flow from I/O Operations
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Deriving Protocol Models from Imperfect Service Conversation Logs
IEEE Transactions on Knowledge and Data Engineering
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Discovering Process Models from Unlabelled Event Logs
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Event correlation for process discovery from web service interaction logs
The VLDB Journal — The International Journal on Very Large Data Bases
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Traditional standards for Electronic Data Interchange (EDI), such as EDIFACT and ANSI X12, have been employed in Business-to-Business (B2B) e-commerce for decades. Due to their wide industry coverage and long-standing establishment, they will presumably continue to play an important role for some time. EDI systems are typically not "process-aware", i.e., messages are standardized but processes simply "emerge". However, to improve performance and to enhance the control, it is important to understand and analyze the "real" processes supported by these systems. In the case study presented in this paper we uncover the inter-organizational business processes of an automotive supplier company by analyzing the EDIFACT messages that it receives from its business partners. We start by transforming a set of observed messages to an event log, which requires that the individual messages are correlated to process instances. Thereby, we make use of the specific structure of EDIFACT messages. Then we apply process mining techniques to uncover the inter-organizational business processes. Our results show that inter-organizational business process models can be derived by analyzing EDI messages that are exchanged in a network of organizations.