Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com. - Cristóbal J. Carmona; Sergio Ramírez-Gallego; F. J. Torres; Enrique Bernal; María José del Jesus; Salvador García 001 (ICEIS (2), 2012)

Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. - Cristóbal J. Carmona; Sergio Ramírez-Gallego; F. J. Torres; Enrique Bernal; María José del Jesus; Salvador García 001 (Expert Syst. Appl., 2012)

On the statistical analysis of the parameters' trend in a machine learning algorithm. - Salvador García 001; Joaquín Derrac; Sergio Ramírez-Gallego; Francisco Herrera (Prog. Artif. Intell., 2014)

A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (CORES, 2015)

Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. - Sergio Ramírez-Gallego; Salvador García 001; Héctor Mouriño-Talín; David Martínez-Rego (TrustCom/BigDataSE/ISPA (2), 2015)

An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. - Sergio Ramírez-Gallego; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Amparo Alonso-Betanzos; Francisco Herrera (CoRR, 2016)

Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (IEEE Trans. Cybern., 2016)

Data discretization: taxonomy and big data challenge. - Sergio Ramírez-Gallego; Salvador García 001; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; Amparo Alonso-Betanzos; José Manuel Benítez 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2016)

MapReduce distributed highly random fuzzy forest for noisy big data. - Faruk Mustafic; Francisco Herrera; Ning Xiong 001; Sergio Ramírez-Gallego (ICNC-FSKD, 2017)

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. - Sergio Ramírez-Gallego; Iago Lastra; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Francisco Herrera; Amparo Alonso-Betanzos (Int. J. Intell. Syst., 2017)

A survey on data preprocessing for data stream mining: Current status and future directions. - Sergio Ramírez-Gallego; Bartosz Krawczyk; Salvador García 001; Michal Wozniak 001; Francisco Herrera (Neurocomputing, 2017)

kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. - Jesús Maillo; Sergio Ramírez-Gallego; Isaac Triguero; Francisco Herrera (Knowl. Based Syst., 2017)

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. - Sergio Ramírez-Gallego; Bartosz Krawczyk; Salvador García 001; Michal Wozniak 001; José Manuel Benítez 001; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Syst., 2017)

On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. - Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (HAIS, 2018)

BELIEF: A distance-based redundancy-proof feature selection method for Big Data. - Sergio Ramírez-Gallego; Salvador García 001; Ning Xiong 001; Francisco Herrera (CoRR, 2018)

Online entropy-based discretization for data streaming classification. - Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (Future Gener. Comput. Syst., 2018)

Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce. - Sergio Ramírez-Gallego; Alberto Fernández 001; Salvador García 001; Min Chen 003; Francisco Herrera (Inf. Fusion, 2018)

Principal Components Analysis Random Discretization Ensemble for Big Data. - Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (Knowl. Based Syst., 2018)

A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. - Sergio Ramírez-Gallego; Salvador García 001; José Manuel Benítez 001; Francisco Herrera (Swarm Evol. Comput., 2018)

A Forecasting Methodology for Workload Forecasting in Cloud Systems. - Francisco Javier Baldan; Sergio Ramírez-Gallego; Christoph Bergmeir; Francisco Herrera; José Manuel Benítez 001 (IEEE Trans. Cloud Comput., 2018)

An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. - Sergio Ramírez-Gallego; Héctor Mouriño-Talín; David Martínez-Rego; Verónica Bolón-Canedo; José Manuel Benítez 001; Amparo Alonso-Betanzos; Francisco Herrera (IEEE Trans. Syst. Man Cybern. Syst., 2018)

Big Data Preprocessing - Enabling Smart Data - Julián Luengo; Diego García-Gil; Sergio Ramírez-Gallego; Salvador García 001; Francisco Herrera (Springer, 2020)

BELIEF: A distance-based redundancy-proof feature selection method for Big Data. - David López; Sergio Ramírez-Gallego; Salvador García 001; Ning Xiong 001; Francisco Herrera (Inf. Sci., 2021)