Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns-Reference-Cited by-同舟云学术

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Practical Forecasting of Cryptocoins Timeseries using Correlation Patterns

Published:2023-06-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems
language:
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Author:

De Rosa Pasquale¹^ORCID,Felber Pascal¹^ORCID,Schiavoni Valerio¹^ORCID

Affiliation:

1. University of Neuchâtel, Switzerland, Neuchâtel, Switzerland

Publisher

ACM

Reference46 articles.

1. Time Series

2. 2015. Higgs Boson Machine Learning Challenge . Retrieved May 23, 2023 from https://www.kaggle.com/c/higgs-boson/discussion/10998 2015. Higgs Boson Machine Learning Challenge. Retrieved May 23, 2023 from https://www.kaggle.com/c/higgs-boson/discussion/10998

3. 2023. Binance Exchange. Retrieved May 23 2023 from https://www.binance.com 2023. Binance Exchange. Retrieved May 23 2023 from https://www.binance.com

4. 2023. Coinbase Exchange. Retrieved May 23 2023 from https://www.coinbase.com 2023. Coinbase Exchange. Retrieved May 23 2023 from https://www.coinbase.com

5. 2023. CoinMarketCap Web Service . Retrieved May 23, 2023 from https://coinmarketcap.com 2023. CoinMarketCap Web Service. Retrieved May 23, 2023 from https://coinmarketcap.com

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1. CryptoAnalytics: Cryptocoins price forecasting with machine learning techniques;SoftwareX;2024-05

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