关键词: 业务流程实例, 下一活动预测, 深度学习, XLNet模型

Abstract: Predictive business process monitoring focuses on the use of event logs to predict the future characteristics of running processes.Aiming at the shortcomings of the most existing methods of business process prediction,such as unable capture the long distance dependency of sequences and the sequence information only be employed in one direction,a next activity prediction method of business process based on XLNet was proposed.This method realized long range memory,and the attention mask was used to reconstruct the event sequence,so as to utilize the bidirectional information of the sequence.The evaluation results on 4 public datasets showed that the average accuracy of the proposed method was better than some popular prediction methods of next activity.When the log records were sufficient,this method could achieve high accuracy for the prediction result of next activity in business process,and provide a real-time decision-making basis for the business process management system.

Key words: business process, next activity prediction, deep learning, XLNet model