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.

Dades bibliogràfiques
Autors principals:	Anjum, Afra Antara, Islam, Sadaath, Majumder, Shaikat
Altres autors:	Alam, Md. Golam Rabiul
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2022
Matèries:	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
Accés en línia:	http://hdl.handle.net/10361/16947

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