A reasonable encoding technique can greatly improve the accuracy of remaining time prediction.Therefore,five types of event encoding techniques were designed.All the events contained in the business process were extrac-ted,and the event encoding techniques was used to encode the events.According to the sequential characteristics of business processes,different types of remaining time prediction models were constructed,and the event encoding vector was used as the input of the prediction model,so as to evaluate the impact of event encoding methods on the remaining time prediction.Experiments on eight public event logs demonstrated that the GloVe encoding technique achieved the best accuracy compared to other techniques in terms of process remaining time prediction.The obtained experiment results provided valuable insights and guidance to researchers and practitioners to choose the most appro-priate event encoding technique to achieve the best remaining time prediction accuracy.
关键词
业务流程/剩余时间预测/深度学习/事件编码方式
Key words
business process/remaining time prediction/deep learning/event encoding techniques
维普
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