Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Intelligent Control Systems: An Introduction with Examples
Intelligent Control Systems: An Introduction with Examples
Business process mining: An industrial application
Information Systems
Conformance checking of processes based on monitoring real behavior
Information Systems
Multiagent realization of prediction-based diagnosis and loss prevention
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
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
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The technologic processes are executed in the recent technological systems by process directing devices. In these systems the instruments fix the measured values and the corresponding dates (timestamps) on the one hand, on the other hand it is also recorded who and what performed what kind of intervention during operation. The goal of our research is to work out special agents for resulting data from monitoring of functioning of discrete event systems with special regard to diagnosis of faulty mode of operation. In our research we examined vehicle industry as to what useful information can be filtered out for the sake of functional and cost efficiency from the logs resulting from the processes. One of the areas is one of the testing processes in vehicle industry which follows planning, and the other one is the examination of specific troubleshooting process in case of buses.