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.

Bibliographische Detailangaben
Hauptverfasser: Anjum, Afra Antara, Islam, Sadaath, Majumder, Shaikat
Weitere Verfasser: Alam, Md. Golam Rabiul
Format: Abschlussarbeit
Sprache:English
Veröffentlicht: Brac University 2022
Schlagworte:
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 Zugang:http://hdl.handle.net/10361/16947

Online

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

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