Dr ISAAC TRIGUERO VELAZQUEZ's Outputs (2)

MRPR: A MapReduce solution for prototype reduction in big data classification (2014)
Journal Article
Triguero, I., Peralta, D., Bacardit, J., García, S., & Herrera, F. (2015). MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing, 150(Part A), 331-345. https://doi.org/10.1016/j.neucom.2014.04.078

In the era of big data, analyzing and extracting knowledge from large-scale data sets is a very interesting and challenging task. The application of standard data mining tools in such data sets is not straightforward. Hence, a new class of scalable m... Read More about MRPR: A MapReduce solution for prototype reduction in big data classification.

SEG-SSC: a framework based on synthetic examples generation for self-labeled semi-supervised classification (2014)
Journal Article
Triguero, I., Garcia, S., & Herrera, F. (2015). SEG-SSC: a framework based on synthetic examples generation for self-labeled semi-supervised classification. IEEE Transactions on Cybernetics, 45(4), https://doi.org/10.1109/TCYB.2014.2332003

Self-labeled techniques are semi-supervised classification methods that address the shortage of labeled examples via a self-learning process based on supervised models. They progressively classify unlabeled data and use them to modify the hypothesis... Read More about SEG-SSC: a framework based on synthetic examples generation for self-labeled semi-supervised classification.