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.

Bibliographic Details
Main Authors: Anjum, Afra Antara, Islam, Sadaath, Majumder, Shaikat
Other Authors: Alam, Md. Golam Rabiul
Format: Thesis
Language:English
Published: Brac University 2022
Subjects:
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 Access:http://hdl.handle.net/10361/16947

Internet

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

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