
Identification of human resource analytics using machine learning algorithms
Author(s) -
Elham Mohammed Thabit A. Alsaadi,
Sameerah Faris Khlebus,
Ashwak Alabaichi
Publication year - 2022
Publication title -
telkomnika
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.258
H-Index - 23
eISSN - 2302-9293
pISSN - 1693-6930
DOI - 10.12928/telkomnika.v20i5.21818
Subject(s) - attrition , computer science , random forest , analytics , machine learning , classifier (uml) , cluster analysis , artificial intelligence , predictive analytics , human resource management , logistic regression , overtime , decision tree , data mining , algorithm , knowledge management , medicine , dentistry , political science , law