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The Scientific World Journal
Volume 2015 (2015), Article ID 235810, 14 pages
http://dx.doi.org/10.1155/2015/235810
Research Article

Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift

Agustín Ortíz Díaz,1 José del Campo-Ávila,2 Gonzalo Ramos-Jiménez,2 Isvani Frías Blanco,1 Yailé Caballero Mota,3 Antonio Mustelier Hechavarría,1 and Rafael Morales-Bueno2

1Department of Computer Science, University of Granma, 85100 Granma, Cuba
2Department of Language and Computer Science, University of Málaga, Complejo Tecnológico, 29071 Málaga, Spain
3Department of Computer Science, University of Camagüey, 70100 Camagüey, Cuba

Received 26 June 2014; Accepted 15 September 2014

Academic Editor: Shifei Ding

Copyright © 2015 Agustín Ortíz Díaz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Agustín Ortíz Díaz, José del Campo-Ávila, Gonzalo Ramos-Jiménez, et al., “Fast Adapting Ensemble: A New Algorithm for Mining Data Streams with Concept Drift,” The Scientific World Journal, vol. 2015, Article ID 235810, 14 pages, 2015. doi:10.1155/2015/235810