A Comparative Study of ARIMA and LSTM in Forecasting Time Series Data-Reference-Cited by-同舟云学术

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A Comparative Study of ARIMA and LSTM in Forecasting Time Series Data

Published:2022-08-25 Issue: Volume: Page:
ISSN:
Container-title:2022 9th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE)
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Author:

Taslim Deddy Gunawan¹,Murwantara I Made¹

Affiliation:

1. Universitas Pelita Harapan,Faculty of Computer Science,Graduate Informatics Dept.,Jakarta,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9923923/9923945/09924148.pdf?arnumber=9924148

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of prediction model for information technology equipment procurement as the basis of knowledge for an Intelligent Decision Support System based on carbon emissions and End-of-Life phase;Resources, Environment and Sustainability;2024-06

2. A Study of LSTM Optimisation for Forecasting Volatile Time Series Data;2024 4th International Conference on Computer Communication and Artificial Intelligence (CCAI);2024-05-24

3. A Framework for Enhanced Time Series Forecasting of Internet Traffic Based on AdaBoost-LSTM Integration;2024 5th International Conference on Computer Engineering and Application (ICCEA);2024-04-12

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