Queue Mining and Prediction Based on Context-Fusion Scenario

摘要

To solve the problems of business process mining and process execution time prediction based on event logs more accurately and efficiently, this paper proposes a queue mining and prediction method that integrates contextual scenarios. Firstly a scenario model that integrates contextual information is established. Then typical queues is mined from event log data based on the scenario model, and then maps tasks to the corresponding scenarios of the specific queues to predict the completion time. Finally, according to the real data set of a financial institution’s actual process executing, the feasibility and effectiveness of the algorithm is verified.