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

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.

Библиографические подробности
Главные авторы:	Anjum, Afra Antara, Islam, Sadaath, Majumder, Shaikat
Другие авторы:	Alam, Md. Golam Rabiul
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2022
Предметы:	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
Online-ссылка:	http://hdl.handle.net/10361/16947

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