Explainable Business Process Remaining Time Prediction Using Reachability Graph-Reference-Cited by-同舟云学术

Explainable Business Process Remaining Time Prediction Using Reachability Graph

Published:2023-05 Issue:3 Volume:32 Page:625-639
ISSN:2075-5597
Container-title:Chinese Journal of Electronics
language:
Short-container-title:Chinese J. Elect.

Author:

Cao Rui¹,Zeng Qingtian¹,Ni Weijian¹,Lu Faming¹,Liu Cong²,Duan Hua¹

Affiliation:

1. College of Computer Science and Engineering, Shandong University of Science and Technology,Qingdao,China,266510

2. School of Computer Science and Technology, Shandong University of Technology,Zibo,China,255000

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/9970761/10124650/10124701.pdf?arnumber=10124701

Reference41 articles.

1. Time prediction based on process mining

2. Investigation of the effect of concept drift on data-aware remaining time prediction of business processes;firouzian;International Journal of Nonlinear Analysis and Applications,2019

3. Predicting remaining execution time of business process instances via auto-encoded transition system

4. Predicting remaining business time with deep transfer learning;liu;Data Analysis and Knowledge Discovery,2020

5. Predictive Business Process Monitoring with LSTM Neural Networks

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