Comparison of Distance Measurement in Time Series Clustering for Predicting Bitcoin Prices-Reference-Cited by-同舟云学术

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Comparison of Distance Measurement in Time Series Clustering for Predicting Bitcoin Prices

Published:2020-09 Issue: Volume: Page:
ISSN:
Container-title:2020 21st Asia-Pacific Network Operations and Management Symposium (APNOMS)
language:
Short-container-title:

Author:

Baek Ui-Jun,Shin Mu-Gon,Lee Min-Seong,Kim Boseon,Park Jee- Tae,Kim Myung-Sup

Funder

Institute of Information and Communications Technology Planning and Evaluation (IITP)

Ministry of Trade, Industry & Energy (MOTIE, Korea) and the Korea Evaluation Institute of Industrial Technology (KEIT)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9226588/9236777/09236969.pdf?arnumber=9236969

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1. A Big Data Solution to Predict Cryptocurrency Market Trends: A Time-Series Machine Learning Approach;Big Data Analytics for Smart Urban Systems;2023

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