Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Process Aware Information Systems: Bridging People and Software Through Process Technology
Process Aware Information Systems: Bridging People and Software Through Process Technology
Business process mining: An industrial application
Information Systems
Business Process Management: Concepts, Languages, Architectures
Business Process Management: Concepts, Languages, Architectures
Supporting Flexible Processes through Recommendations Based on History
BPM '08 Proceedings of the 6th International Conference on Business Process Management
Cycle Time Prediction: When Will This Case Finally Be Finished?
OTM '08 Proceedings of the OTM 2008 Confederated International Conferences, CoopIS, DOA, GADA, IS, and ODBASE 2008. Part I on On the Move to Meaningful Internet Systems:
Fuzzy mining: adaptive process simplification based on multi-perspective metrics
BPM'07 Proceedings of the 5th international conference on Business process management
APROMORE: An advanced process model repository
Expert Systems with Applications: An International Journal
Towards TomTom like systems for the web: a novel architecture for browser-based mashups
Proceedings of the 2nd International Workshop on Business intelligencE and the WEB
What makes a good process model?
Software and Systems Modeling (SoSyM)
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Navigation systems have proven to be quite useful for many drivers. People increasingly rely on the devices of TomTom and other vendors and find it useful to get directions to go from A to B, know the expected arrival time, learn about traffic jams on the planned route, and be able to view maps that can be customized in various ways (zoom-in/zoom-out, show fuel stations, speed limits, etc.). However, when looking at business processes, such information is typically lacking. Good and accurate "maps" of business process are often missing and, if they exist, they tend to be restrictive and provide little information. For example, very few business process management systems are able to predict when a case will complete. Therefore, we advocate more TomTom-like functionality for business process management (TomTom4BPM). Process mining will play an essential role in providing TomTom4BPM as it allows for process discovery (generating accurate maps), conformance checking (comparing the real processes with the modeled processes), and extension (augmenting process models with additional/dynamic information).