Automating process discovery through event-data analysis
Proceedings of the 17th international conference on Software engineering
Frontiers of electronic commerce
Frontiers of electronic commerce
Discovering models of software processes from event-based data
ACM Transactions on Software Engineering and Methodology (TOSEM)
Local governments online and the role of the resident: government shop versus electronic community
Social Science Computer Review
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
Process Miner - A Tool for Mining Process Schemes from Event-Based Data
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Mining exact models of concurrent workflows
Computers in Industry - Special issue: Process/workflow mining
Workflow Mining: Discovering Process Models from Event Logs
IEEE Transactions on Knowledge and Data Engineering
Business process mining: An industrial application
Information Systems
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The normal running of electronic government depends on government process models. The traditional government process is static. With the development of government, government processes become changeful. Unfortunately, traditional modeling approaches have some limitations to meet these demands due to their inherent static properties. Therefore this paper researches an automatic government process remodeling approach. The core of the method is process remodeling algorithm. In the algorithm a markov transition matrix is set up based on process logs in BPMS. And according to the matrix the eight remodeling rules of process logical relations are designed. The remodeling method can not only automatically remodel the various government processes, but also greatly enhance the process modeling efficiency.