JULIAN
LUENGO MARTIN
Investigador en el periodo 2011-2015
Universidad de Jaén
Jaén, EspañaPublicaciones en colaboración con investigadores/as de Universidad de Jaén (22)
2016
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The influence of noise on the evolutionary fuzzy systems for subgroup discovery
Soft Computing, Vol. 20, Núm. 11, pp. 4313-4330
2015
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A data mining software package including data preparation and reduction: Keel
Intelligent Systems Reference Library, Vol. 72, pp. 285-313
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Data Preprocessing in Data Mining
Intelligent Systems Reference Library, Vol. 72
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Data preparation basic models
Intelligent Systems Reference Library, Vol. 72, pp. 39-57
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Data reduction
Intelligent Systems Reference Library, Vol. 72, pp. 147-162
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Data sets and proper statistical analysis of data mining techniques
Intelligent Systems Reference Library, Vol. 72, pp. 19-38
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Dealing with missing values
Intelligent Systems Reference Library, Vol. 72, pp. 59-105
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Dealing with noisy data
Intelligent Systems Reference Library, Vol. 72, pp. 107-145
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Discretization
Intelligent Systems Reference Library, Vol. 72, pp. 245-283
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Feature selection
Intelligent Systems Reference Library, Vol. 72, pp. 163-193
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Instance selection
Intelligent Systems Reference Library, Vol. 72, pp. 195-243
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Introduction
Intelligent Systems Reference Library, Vol. 72, pp. 1-17
2014
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On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification
Neurocomputing, Vol. 132, pp. 30-41
2013
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A survey of discretization techniques: Taxonomy and empirical analysis in supervised learning
IEEE Transactions on Knowledge and Data Engineering, Vol. 25, Núm. 4, pp. 734-750
2012
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A preliminary study on missing data imputation in evolutionary fuzzy systems of subgroup discovery
IEEE International Conference on Fuzzy Systems
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A preliminary study onselecting the optimal cut points in discretization by evolutionary algorithms
ICPRAM 2012 - Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods
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An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery
Expert Systems with Applications, Vol. 39, Núm. 13, pp. 11404-11412
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On the choice of the best imputation methods for missing values considering three groups of classification methods
Knowledge and Information Systems, Vol. 32, Núm. 1, pp. 77-108
2011
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Addressing data complexity for imbalanced data sets: Analysis of SMOTE-based oversampling and evolutionary undersampling
Soft Computing, Vol. 15, Núm. 10, pp. 1909-1936
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Evolutionary selection of hyperrectangles in nested generalized exemplar learning
Applied Soft Computing Journal, Vol. 11, Núm. 3, pp. 3032-3045