UPDF AI

A Systematic Literature Review of Youth Employment and Employability in Morocco: Role of Data Mining Techniques

Aniss Moumen

2020 · DOI: 10.5220/0010428500770083
1 Citations

TLDR

An overview of research works concerning by youth employment and employability in Morocco is presented and it is found that theoretical works are more mostly present in this corpus than empirical works.

Abstract

: Data mining (DM) is a method involving the all used techniques in data discovering; it aims to get beneficial facts, which are hiding behind data. So, Data Mining techniques deploy several methods to discover patterns and relationships between our data. In this paper, we present an overview of research works concerning by youth employment and employability in Morocco; our goal is to identify and examine the contribution of data mining techniques to analyze quantitative and qualitative data. This systematic literature review uses scientific databases, repository and research engine to collect 186 references, between 1988 to 2020, we use IMIST repositories, Google Scholar, Scopus, IEEE, Cairn.info, ScienceDirect, Persee, HAL and ILO Publication. As a result of our queries and meta-analyze 1/3 of this corpus is in English, the Moroccan journal "Critique économique" publish the most works in this topic and the authors " El Aoufi, Noureddine et al." produce mostly the books about the subject "Employment" and "Employability" in "Morocco". After text analysis, we found that theoretical works (63%) are more mostly present in this corpus than empirical works (37%). Concerning Data mining techniques used in Moroccan works, we found that the Data mining algorithms are used to explore the data, a few works utilize test hypothesis, classifications and prediction models.