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.

Bibliografski detalji
Glavni autori:	Tabassum, Parisa, Halder, Mita
Daljnji autori:	Majumdar, Mahbub Alam
Format:	Disertacija
Jezik:	English
Izdano:	BRAC University 2018
Teme:	Stock market Bayesian network Ward method K2 algorithm Bayesian statistical decision theory > Data processing. Computers > Enterprise applications > Business intelligence tools.
Online pristup:	http://hdl.handle.net/10361/10958

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