Efficiently mining frequent trees in a forest
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Computers in Industry - Special issue: Process/workflow mining
Mining and Reasoning on Workflows
IEEE Transactions on Knowledge and Data Engineering
Adaptable Decentralized Service Oriented Architecture
Journal of Systems and Software
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Emerging Business Process Management Systems (BPMS) are revolutionizing the way enterprises address inter-/intra- company process integration and business IT alignment problems. BPMS is becoming the tool of choice for process lifecycle management. Continuous process improvement is the key focus of process lifecycle management. To carry out this task effectively process designers need a deep understanding of the process behavior. They will need efficient mining algorithms that deliver pertinent and valuable information on all executed instances of a complex process. We propose an algorithm that mines the frequent paths of execution for processes described in BPEL by extending the formalism that has been proposed for mining frequent patterns in a workflow.