Computers in Industry - Special issue: Process/workflow mining
Advances in business process management
Data & Knowledge Engineering - Special issue: Advances in business process management
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Beyond data warehousing: what's next in business intelligence?
Proceedings of the 7th ACM international workshop on Data warehousing and OLAP
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
Genetic process mining: an experimental evaluation
Data Mining and Knowledge Discovery
Business process mining: An industrial application
Information Systems
Towards comprehensive support for organizational mining
Decision Support Systems
Information Systems
Process Diagnostics: A Method Based on Process Mining
EKNOW '09 Proceedings of the 2009 International Conference on Information, Process, and Knowledge Management
Process mining applied to the test process of wafer scanners in ASML
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews - Special issue on information reuse and integration
What makes process models understandable?
BPM'07 Proceedings of the 5th international conference on Business process management
Fuzzy mining: adaptive process simplification based on multi-perspective metrics
BPM'07 Proceedings of the 5th international conference on Business process management
Time prediction based on process mining
Information Systems
Process discovery in event logs: An application in the telecom industry
Applied Soft Computing
Process Mining: Discovery, Conformance and Enhancement of Business Processes
Process Mining: Discovery, Conformance and Enhancement of Business Processes
A business process mining application for internal transaction fraud mitigation
Expert Systems with Applications: An International Journal
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Most organizations have some kind of process-oriented information system that keeps track of business events. Process Mining starts from event logs extracted from these systems in order to discover, analyze, diagnose and improve processes, organizational, social and data structures. Notwithstanding the large number of contributions to the process mining literature over the last decade, the number of studies actually demonstrating the applicability and value of these techniques in practice has been limited. As a consequence, there is a need for real-life case studies suggesting methodologies to conduct process mining analysis and to show the benefits of its application in real-life environments. In this paper we present a methodological framework for a multi-faceted analysis of real-life event logs based on Process Mining. As such, we demonstrate the usefulness and flexibility of process mining techniques to expose organizational inefficiencies in a real-life case study that is centered on the back office process of a large Belgian insurance company. Our analysis shows that process mining techniques constitute an ideal means to tackle organizational challenges by suggesting process improvements and creating a company-wide process awareness.