A decentralized employee performance appraisal framework for recruitment, performance prediction and ranking using permissioned Blockchain and ensemble learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022.

Detalhes bibliográficos
Principais autores:	Anjum, Afra Antara, Islam, Sadaath, Majumder, Shaikat
Outros Autores:	Alam, Md. Golam Rabiul
Formato:	Tese
Idioma:	English
Publicado em:	Brac University 2022
Assuntos:	Human resource management Blockchain Recruitment Ensemble learning Decision tree Performance appraisal Random Forest (RF) Recursive feature elimination Permission protocol Smart contracts Hyperledger fabric Business logistics Machine learning Artificial intelligence
Acesso em linha:	http://hdl.handle.net/10361/16947

http://hdl.handle.net/10361/16947

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