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

Author

Derrac, J. ; Luengo, J. ; Alcalá-Fdez, J. ; Fernández, A. ; García, S.

Author_Institution

Dept. of Comput. Sci. & Artificial Intell., Univ. of Granada, Granada, Spain

fYear

2011

fDate

19-21 Oct. 2011

Firstpage

464

Lastpage

469

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.

Keywords

computer aided instruction; computer science education; data mining; software tools; KEEL software; computational intelligence field; computer science student; data mining; databases course; educational tool; information technology; knowledge discovery; machine learning; software tool; transnational education; Accuracy; Algorithm design and analysis; Biological system modeling; Data mining; Software algorithms; Software tools; Data Mining; Educational Tool; Java; Knowledge Discovery in Databases; Machine Learning; Software Tool;

fLanguage

English

Publisher

ieee

Conference_Titel

Next Generation Web Services Practices (NWeSP), 2011 7th International Conference on

Conference_Location

Salamanca

Print_ISBN

978-1-4577-1125-1

Type

conf

DOI

10.1109/NWeSP.2011.6088224

Filename

6088224