Workflow management: models, methods, and systems
Workflow management: models, methods, and systems
Warehousing Workflow Data: Challenges and Opportunities
Proceedings of the 27th International Conference on Very Large Data Bases
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
Bayesian Networks and Decision Graphs
Bayesian Networks and Decision Graphs
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Companies in the customer-centric service sector deal with thousands of business processes on a daily basis. As different tasks progress along the process sequence, the process owners are interested in three key questions: which task could be the next in the remaining process path, how and when will the process finish? In this paper, we focus mainly on the first two question, the prediction of the length of the process path is part of further research. We propose a classification method based on Markov chains and Bayesian networks for predicting such properties like the remaining process flow, especially the next task in the process path, and the class of the process. This approach is applied and tested on real-world data, showing some interesting results and hints for further research.