With the recent advances in the field of deep learning, an increasing number of deep neural networks have been applied to business process prediction tasks, remaining time prediction, to obtain more accurate predictive results. However, existing time prediction methods based on deep learning have poor interpretability, an explainable business process remaining time prediction method is proposed using reachability graph, which consists of prediction model construction and visualization. For prediction models, a Petri net is mined and the reachability graph is constructed to obtain the transition occurrence vector. Then, prefixes and corresponding suffixes are generated to cluster into different transition partitions according to transition occurrence vector. Next, the bidirectional recurrent neural network with attention is applied to each transition partition to encode the prefixes, and the deep transfer learning between different transition partitions is performed. For the visualization of prediction models, the evaluation values are added to the sub-processes of a Petri net to realize the visualization of the prediction models. Finally, the proposed method is validated by publicly available event logs.

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Abstract. With the increasing penetration of Internet technology in decision-making activities of enterprises, the in-depth integration between the Internet and the market environment has made dynamic capabilities an essential capability for enterprises to adapt to rapidly changing markets and win innovative performance. On the basis of integrating the existing research results of dynamic capabilities and innovation performance, this paper combines the characteristics of Internet companies to logically deduce and analyze the relationship between the dynamic capabilities of Internet companies and innovation performance. Based on the dynamic capabilities and innovation performance perspectives, the mechanism of action between people. It is considered that the dynamic capabilities of Internet enterprises formed by three dimensions of identifying opportunities, integrating resources and innovating and developing which are related to the management of innovation performance. The specific ways can optimize and enhance the innovation of enterprises by innovating the enterprise culture, changing the organizational form and knowledge mana gement.