Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 5
Page No. 1690 - 1694

Prediction Model for Employability in Morocco Using Data Mining Techniques

Authors : Mohamed Saouabi and Abdellah Ezzati

Abstract: 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.

How to cite this article:

Mohamed Saouabi and Abdellah Ezzati, 2019. Prediction Model for Employability in Morocco Using Data Mining Techniques. Journal of Engineering and Applied Sciences, 14: 1690-1694.

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