Sergio Ramírez-Gallego

According to our database, Sergio Ramírez-Gallego authored at least 23 papers between 2012 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

BELIEF: A distance-based redundancy-proof feature selection method for Big Data.

David López, Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera

Inf. Sci., 2021

2020

Big Data Preprocessing - Enabling Smart Data

Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Springer, ISBN: 978-3-030-39104-1, 2020

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, Amparo Alonso-Betanzos, Francisco Herrera

IEEE Trans. Syst. Man Cybern. Syst., 2018

A Forecasting Methodology for Workload Forecasting in Cloud Systems.

Francisco Javier Baldan, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez

IEEE Trans. Cloud Comput., 2018

A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.

Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera

Swarm Evol. Comput., 2018

Principal Components Analysis Random Discretization Ensemble for Big Data.

Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Knowl. Based Syst., 2018

Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce.

Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera

Inf. Fusion, 2018

Online entropy-based discretization for data streaming classification.

Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Future Gener. Comput. Syst., 2018

BELIEF: A distance-based redundancy-proof feature selection method for Big Data.

Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera

CoRR, 2018

On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data.

Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

2017

Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark.

Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera

IEEE Trans. Syst. Man Cybern. Syst., 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

A survey on data preprocessing for data stream mining: Current status and future directions.

Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera

Neurocomputing, 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, Francisco Herrera, Amparo Alonso-Betanzos

Int. J. Intell. Syst., 2017

MapReduce distributed highly random fuzzy forest for noisy big data.

Faruk Mustafic, Francisco Herrera, Ning Xiong, Sergio Ramírez-Gallego

Proceedings of the 13th International Conference on Natural Computation, 2017

2016

Data discretization: taxonomy and big data challenge.

Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera

WIREs Data Mining Knowl. Discov., 2016

Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.

Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera

IEEE Trans. Cybern., 2016

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, Amparo Alonso-Betanzos, Francisco Herrera

CoRR, 2016

2015

Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark.

Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.

Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera

Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

2014

On the statistical analysis of the parameters' trend in a machine learning algorithm.

Salvador García, Joaquín Derrac, Sergio Ramírez-Gallego, Francisco Herrera

Prog. Artif. Intell., 2014

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

Expert Syst. Appl., 2012

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

Proceedings of the ICEIS 2012 - Proceedings of the 14th International Conference on Enterprise Information Systems, Volume 2, Wroclaw, Poland, 28 June, 2012