Automatic Conversion of Event Data to Event Logs Using CNN and Event Density Embedding-Reference-Cited by-同舟云学术

Automatic Conversion of Event Data to Event Logs Using CNN and Event Density Embedding

Published:2022 Issue: Volume:10 Page:15994-16009
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sim Sunghyun¹^ORCID,Sutrisnowati Riska Asriana²,Won Seokrae²^ORCID,Lee Sanghwa²,Bae Hyerim³^ORCID

Affiliation:

1. Institute of Intelligent Logistics Big Data, Pusan National University, Geum-Jeong Gu, Busan, South Korea

2. IOChord Inc., Haeundae-gu, Busan, South Korea

3. Department of Industrial Engineering, Major in Industrial Data Science & Engineering, Pusan National University, Geum-Jeong Gu, Busan, South Korea

Funder

Basic Science Research Program through the National Research Foundation of Korea

Korean Government

NRF through the Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09682686.pdf?arnumber=9682686

Reference68 articles.

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2. Learning of Process Representations Using Recurrent Neural Networks

3. A deep learning approach for predicting critical events using event logs

4. Discovering generative models from event logs: data-driven simulation vs deep learning

5. Encoder-decoder generative adversarial nets for suffix generation and remaining time prediction of business process models;taymouri;arXiv 2007 16030,2020

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