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.

書誌詳細
主要な著者:	Anjum, Afra Antara, Islam, Sadaath, Majumder, Shaikat
その他の著者:	Alam, Md. Golam Rabiul
フォーマット:	学位論文
言語:	English
出版事項:	Brac University 2022
主題:	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
オンライン･アクセス:	http://hdl.handle.net/10361/16947

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