Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations

This thesis is submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science, 2024.

書誌詳細
第一著者:	Rabbi, Md. Nafis
その他の著者:	Alam, Md. Golam Rabiul
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2024
主題:	Logistic regression Random forest regressor Sentiment analysis Naive Bayes Gaussian Data fusion Bitcoin. Cryptocurrencies > Prices
オンライン･アクセス:	http://hdl.handle.net/10361/24031

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