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.

Dettagli Bibliografici
Autori principali:	Tabassum, Parisa, Halder, Mita
Altri autori:	Majumdar, Mahbub Alam
Natura:	Tesi
Lingua:	English
Pubblicazione:	BRAC University 2018
Soggetti:	Stock market Bayesian network Ward method K2 algorithm Bayesian statistical decision theory > Data processing. Computers > Enterprise applications > Business intelligence tools.
Accesso online:	http://hdl.handle.net/10361/10958

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