Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Toward a Technology for Organizational Memories
IEEE Intelligent Systems
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Process mining: a research agenda
Computers in Industry - Special issue: Process/workflow mining
Mining of ad-hoc business processes with TeamLog
Data & Knowledge Engineering
Exploring the CSCW spectrum using process mining
Advanced Engineering Informatics
Classifier fusion for SVM-based multimedia semantic indexing
ECIR'07 Proceedings of the 29th European conference on IR research
KISS-knowledge-intensive service support: an approach for agile process management
RuleML'07 Proceedings of the 2007 international conference on Advances in rule interchange and applications
A collaborative approach to maturing process-related knowledge
BPM'10 Proceedings of the 8th international conference on Business process management
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The work presented in this paper explores the potential of leveraging the traces of informal work and collaboration in order to improve business processes over time. As process executions often differ from the original design due to individual preferences, skills or competencies and exceptions, we propose methods to analyse personal preferences of work, such as email communication and personal task execution in a task management application. Outcome of these methods is the detection of internal substructures (subtasks or branches) of activities on the one hand and the recommendation of resources to be used in activities on the other hand, leading to the improvement of business process models. Our first results show that even though human intervention is still required to operationalise these insights it is indeed possible to derive interesting and new insights about business processes from traces of informal work and infer suggestions for process model changes.