Levantamento e Análise de Obras Recentes Baseada em Mineração de Relações e Clusterização

Resumo

This paper presents an analysis and survey of publications in the field of Educational Data Mining published by several researchers at events and journals in the period from 2011 to 2016. The purpose of this research is to identify and present what is being researched in performance prediction area using mining relationships and clustering. The work explored exhibit valuable fruit, which reinforce the importance of the search area, and point alternatives have not or little explored. As continuity of research, suggests the use of classification based on association rules in Virtual Learning Environments and the use of concept maps to represent the interactions in the forums.