Semantic Analysis of Business Process Executions
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Process mining: a research agenda
Computers in Industry - Special issue: Process/workflow mining
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Mining and Reasoning on Workflows
IEEE Transactions on Knowledge and Data Engineering
Discovering Social Networks from Event Logs
Computer Supported Cooperative Work
Business alignment: using process mining as a tool for Delta analysis and conformance testing
Requirements Engineering
Preprocessing support for large scale process mining of SAP transactions
BPM'07 Proceedings of the 2007 international conference on Business process management
A generic import framework for process event logs
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
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
Building AS-IS process models from task descriptions
Proceedings of the 8th International Conference on Frontiers of Information Technology
On the exploitation of process mining for security audits: the process discovery case
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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Process mining is an emerging analysis technique, which extracts process knowledge from data and provides various benefits to organizations. In Service Oriented Computing environment, different services collaborate with others to carry out the operations and therefore overall picture of operations and execution is not clear. Process mining extracts the information from log files of systems, as recorded during executions, and depicts the reality. In order to apply process mining, extraction of process trace data from log files is a pre-requisite step. A case study demonstrates the practical applicability of our proposed framework for extraction of the process trace data from application systems and integration portals.