Using KEEL software as a educational tool: A case of study teaching data mining

Abstract

Regarding information technologies, transnational education has to face several challenges in order to offer a suitable education for computer science students worldwide. Software tools, and specially open source ones, give to the students the possibility of experiment with the most known techniques in the area. Among them, the KEEL software tool can be highlighted as a versatile framework for understanding the mechanics of several computational intelligence fields. The aim of this contribution is to present the educational aspects of KEEL software: An educational module well suited to be used in Data Mining, Machine Learning and Knowledge Discovery in Databases courses. This module provides the user with a visual feedback of the progress of the algorithms, thus being helpful in the task of evaluating and understanding the behavior of classic and modern techniques in these fields.