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.

Detaylı Bibliyografya
Yazar:	Rabbi, Md. Nafis
Diğer Yazarlar:	Alam, Md. Golam Rabiul
Materyal Türü:	Tez
Dil:	English
Baskı/Yayın Bilgisi:	Brac University 2024
Konular:	Logistic regression Random forest regressor Sentiment analysis Naive Bayes Gaussian Data fusion Bitcoin. Cryptocurrencies > Prices
Online Erişim:	http://hdl.handle.net/10361/24031

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