Computer and communication systems performance modelling
Computer and communication systems performance modelling
Stochastic Petri nets: an elementary introduction
Advances in Petri Nets 1989, covers the 9th European Workshop on Applications and Theory in Petri Nets-selected papers
A diary study of task switching and interruptions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
No task left behind?: examining the nature of fragmented work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Coloured Petri Nets and CPN Tools for modelling and validation of concurrent systems
International Journal on Software Tools for Technology Transfer (STTT)
Discovering colored Petri nets from event logs
International Journal on Software Tools for Technology Transfer (STTT)
Information Systems
Discovering Reference Models by Mining Process Variants Using a Heuristic Approach
BPM '09 Proceedings of the 7th International Conference on Business Process Management
Message Correlation and Web Service Protocol Mining from Inaccurate Logs
ICWS '10 Proceedings of the 2010 IEEE International Conference on Web Services
Event correlation for process discovery from web service interaction logs
The VLDB Journal — The International Journal on Very Large Data Bases
The prom framework: a new era in process mining tool support
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Towards a performance estimate in semi-structured processes
SOCA '11 Proceedings of the 2011 IEEE International Conference on Service-Oriented Computing and Applications
Estimating the Processing Time of Process Instances in Semi-structured Processes -- A Case Study
SCC '12 Proceedings of the 2012 IEEE Ninth International Conference on Services Computing
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Semi-structured processes are business workflows, where the execution of the workflow is not completely controlled by a workflow engine, i.e., an implementation of a formal workflow model. Examples are workflows where actors potentially have interaction with customers reporting the result of the interaction in a process aware information system. Building a performance model for resource management in these processes is difficult since the required information is only partially recorded. In this paper we propose a systematic approach for the creation of an event log that is suitable for available process mining tools. This event log is created by an incrementally cleansing of data. The proposed approach is evaluated in an experiment.