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.

Detalles Bibliográficos
Main Authors: Tabassum, Parisa, Halder, Mita
Outros autores: Majumdar, Mahbub Alam
Formato: Thesis
Idioma:English
Publicado: BRAC University 2018
Subjects:
Stock market
Bayesian network
Ward method
K2 algorithm
Bayesian statistical decision theory > Data processing.
Computers > Enterprise applications > Business intelligence tools.
Acceso en liña:http://hdl.handle.net/10361/10958

Internet

http://hdl.handle.net/10361/10958

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