Bibliomining para descubrir reglas de asociación en el Centro de Documentación Regional “Juan Bautista Vázquez”

Abstract

The technological advances in hardware and software in the last years allows storing large volumes of information, which has complicated its management and exploitation. Data mining is a process to discover hidden knowledge in databases and to support decision-making, taking advantage of historic data of a business or institution. This article describes the implementation of data mining techniques in the Regional Documentation Centre “Juan Bautista Vazquez” of the University of Cuenca. The study follows the methodology proposed by Nicholson and uses the algorithms of Weka based on the loan transactions data of Data Warehouse, implemented previously in the documentation center. Finally, the association rules between the bibliographic resources are validated to determine the users’ preference.