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.

Détails bibliographiques
Auteurs principaux: Tabassum, Parisa, Halder, Mita
Autres auteurs: Majumdar, Mahbub Alam
Format: Thèse
Langue:English
Publié: BRAC University 2018
Sujets:
Stock market
Bayesian network
Ward method
K2 algorithm
Bayesian statistical decision theory > Data processing.
Computers > Enterprise applications > Business intelligence tools.
Accès en ligne:http://hdl.handle.net/10361/10958

Internet

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

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