Al-Rasheed, A. (2021). Identification of important features and data mining classification techniques in predicting employee absenteeism at work. International Journal of Electrical & Computer Engineering (2088-8708), 11(5), 4587. https://doi.org/10.11591/ijece.v11i5.pp4587-4596
Chicago Style (17th ed.) CitationAl-Rasheed, Amal. "Identification of Important Features and Data Mining Classification Techniques in Predicting Employee Absenteeism at Work." International Journal of Electrical & Computer Engineering (2088-8708) 11, no. 5 (2021): 4587. https://doi.org/10.11591/ijece.v11i5.pp4587-4596.
MLA (9th ed.) CitationAl-Rasheed, Amal. "Identification of Important Features and Data Mining Classification Techniques in Predicting Employee Absenteeism at Work." International Journal of Electrical & Computer Engineering (2088-8708), vol. 11, no. 5, 2021, p. 4587, https://doi.org/10.11591/ijece.v11i5.pp4587-4596.