Open AccessData Mining Techniques for Analysing Data Extracted from Serious Games: A Systematic Literature Review
Author(s) -
María-Inés Acosta-Urigüen,
Marcos Orellana,
Priscila Cedillo
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5220/0011042900003188
Subject(s) - computer science , data mining , data science , information retrieval