Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
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
Discovering workflow models from activities' lifespans
Computers in Industry - Special issue: Process/workflow mining
Discovering models of behavior for concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Computers in Industry - Special issue: Process/workflow mining
Discovery of temporal patterns from process instances
Computers in Industry - Special issue: Process/workflow mining
The Data Preprocessing of Behavior Pattern Discovering in Collaboration Environment
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Anomaly detection algorithms in logs of process aware systems
Proceedings of the 2008 ACM symposium on Applied computing
Fraud detection in process aware systems
Companion Proceedings of the XIV Brazilian Symposium on Multimedia and the Web
BPM'06 Proceedings of the 4th international conference on Business Process Management
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This work presents a workflow process mining method that is, at least, as powerful as many others presented in the literature, as measured by the examples presented in the literature. The method is based on a grammar of rewriting expressions, by which a model is adapted to include a new execution trace. We also discuss the intrinsic limits of the mining process, which we believe has not been a topic clearly stated and discussed in the published research.