Polytechnic University of Valencia Congress, First International Conference on Higher Education Advances

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Data mining teaching throughout cards game competition
Javier Antoñanzas-Torres, Ruben Urraca, Enrique Sodupe-Ortega, Francisco Javier Martínez-de-Pison, Alpha Pernía-Espinoza

Last modified: 10-06-2015

Abstract


Data-mining techniques and statistical metrics learning can be complicated because of the complexity and overwhelming nature of this field. In this paper a class competition to improve learning of designing Decision Support Systems (DSS) by playing a classic cards game named "Copo" is proposed. The fact that this game is based on a probabilistic problem and that different solutions can be obtained represents a very typical kind of problem in the field of engineering and computer science. During the last four years in which this methodology has been applied to students of Computer Engineering Grade at University of La Rioja, both professors and students h satisfied with the results achieved. The programing of this project was performed in WEKA free software, a data mining suite widely spread in universities and companies. Therefore, not only students learn how to solve stochastic and probabilistic problems, but also the software tools and functions to develop DSS solutions.

http://dx.doi.org/10.4995/HEAd15.2015.333


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