TY  - JOUR
T1  - Prediction Model for Employability in Morocco Using Data Mining Techniques
AU - Saouabi, Mohamed AU - Ezzati, Abdellah 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 5
SP  - 1690
EP  - 1694
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.1690.1694
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.1690.1694
KW  - decision tree (C4.5)
KW  -employability prediction
KW  -big data
KW  -Data mining
KW  -classification
KW  -Prediction Mdel
AB  - Big data is not about just storing data, it’s to explore large volumes of data and extract valuable
information and knowledge from it for future actions. Employment is the main form of social integration, a factor
in improving living conditions and preventing risks of poverty and vulnerability and the most appropriate
indicator for assessing the level of social cohesion in a country. Graduates face every year real competitions
to ensure their employability. Mining employability data will give decision makers a great view of the data and
opportunities to make improvement in this sector. In this study, we presented a data mining model for predicting
employability using the classification algorithm decision tree also we presented the variables which have an
important role predicting graduate’s employability.
ER  -