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.

Détails bibliographiques
Auteurs principaux: Anjum, Afra Antara, Islam, Sadaath, Majumder, Shaikat
Autres auteurs: Alam, Md. Golam Rabiul
Format: Thèse
Langue:English
Publié: Brac University 2022
Sujets:
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
Accès en ligne:http://hdl.handle.net/10361/16947

Internet

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

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