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.

Dettagli Bibliografici
Autori principali:	Anjum, Afra Antara, Islam, Sadaath, Majumder, Shaikat
Altri autori:	Alam, Md. Golam Rabiul
Natura:	Tesi
Lingua:	English
Pubblicazione:	Brac University 2022
Soggetti:	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
Accesso online:	http://hdl.handle.net/10361/16947

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