Abstract
Coping with the high rate of business environment or gaining competitive advantages and customer satisfaction are mainly based on organizational resources, especially an employee. Employees with low performance cause a vital lose for organizations and the absenteeism consider to be one of the factors that affect performance So, understanding the causes of absenteeism may power the organization with a competitive advantages tool and open the area of research for computer and human resources fields. The aim of this paper is to discover the factors and causes of employees absence using computerized technologies. The research conducts data analysis on the absentee database and finds some factors that have a good correlation with absenteeism. Moreover, three prediction models are built: Naive Bayes, Decision Tree, and Random Forest. These models discovered the factors and predict the absenteeism with high accuracy. The Random Forest is the best with an accuracy of 92% while the Naive Bayes is the second followed by the Decision Tree model with an accuracy of 91% and 90% respectively.