Stock price forecasting using Bayesian network

Stock price forecasting using Bayesian network

This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.

Библиографические подробности
Главные авторы:	Tabassum, Parisa, Halder, Mita
Другие авторы:	Majumdar, Mahbub Alam
Формат:	Диссертация
Язык:	English
Опубликовано:	BRAC University 2018
Предметы:	Stock market Bayesian network Ward method K2 algorithm Bayesian statistical decision theory > Data processing. Computers > Enterprise applications > Business intelligence tools.
Online-ссылка:	http://hdl.handle.net/10361/10958

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