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.

書目詳細資料
主要作者:	Rabbi, Md. Nafis
其他作者:	Alam, Md. Golam Rabiul
格式:	Thesis
語言:	English
出版:	Brac University 2024
主題:	Logistic regression Random forest regressor Sentiment analysis Naive Bayes Gaussian Data fusion Bitcoin. Cryptocurrencies > Prices
在線閱讀:	http://hdl.handle.net/10361/24031

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