Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Policy resolution for workflow management systems
HICSS '95 Proceedings of the 28th Hawaii International Conference on System Sciences
Process mining: a research agenda
Computers in Industry - Special issue: Process/workflow mining
Computers in Industry - Special issue: Process/workflow mining
Mining exact models of concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Workflow Management: Models, Methods, and Systems
Workflow Management: Models, Methods, and Systems
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
An EJB-based very large scale workflow system and its performance measurement
WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management
Crawling and Extracting Process Data from the Web
ADMA '09 Proceedings of the 5th International Conference on Advanced Data Mining and Applications
ICLS '10 Proceedings of the 9th International Conference of the Learning Sciences - Volume 1
Proceedings of the 2013 workshop on New security paradigms workshop
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Workflow Management Systems (WFMS) assist with the execution, monitoring and management of a process. These systems, as they are executing, keep a record of who does what and when (e.g. a workflow event log). The activity of using computer software to examine these records to produce useful knowledge about a process is called workflow mining. Currently, workflow mining research is narrowly focused on the rediscovery of control flow models. In this position paper, we present comprehensive workflow mining to broaden the scope of workflow mining. We present the concepts of comprehensive workflow mining using the Information Control Net (ICN) workflow modeling language.