Algoritmos de Data Mining aplicados la enseñanza basada en la Web.

Abstract

Educational platform based on the use of web pages, presents an alternative for addressing the problems and needs of education. The objective of this work is to present a compilation of research in data mining related to education based on virtual learning, specifically related to the alternative algorithms and software for its implementation. Of the existing techniques for applying data mining, our work focuses on data mining mainly associated with virtual learning. The techniques that are implemented in this context are the algorithms for classification and clustering, and discovery of association rules and sequence patterns. Although other techniques are also described on the use of virtual platforms in relation to the educational field, such as web mining. With respect to software, we have focused on Weka, one of the packages used to work with learning algorithms and whose license is open source.