Sergio Ramírez-Gallego

23 papers Misc 1Journal 17Unranked 4
YearRankTypeTitle / Venue / Authors
2021 J jnl
BELIEF: A distance-based redundancy-proof feature selection method for Big Data.
Inf. Sci.
David López, Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera
2020 — book
Big Data Preprocessing - Enabling Smart Data
Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
2018 J jnl
A Forecasting Methodology for Workload Forecasting in Cloud Systems.
IEEE Trans. Cloud Comput.
Francisco J. Baldán, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez
2018 J jnl
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Swarm Evol. Comput.
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2018 J jnl
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.
IEEE Trans. Syst. Man Cybern. Syst.
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
2018 J jnl
BELIEF: A distance-based redundancy-proof feature selection method for Big Data.
CoRR
Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera
2018 J jnl
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce.
Inf. Fusion
Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera
2018 Misc conf
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data.
HAIS
Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
2018 J jnl
Online entropy-based discretization for data streaming classification.
Future Gener. Comput. Syst.
Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
2018 J jnl
Principal Components Analysis Random Discretization Ensemble for Big Data.
Knowl. Based Syst.
Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera
2017 J jnl
A survey on data preprocessing for data stream mining: Current status and future directions.
Neurocomputing
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera
2017 J jnl
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.
Int. J. Intell. Syst.
Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos
2017 — conf
MapReduce distributed highly random fuzzy forest for noisy big data.
ICNC-FSKD
Faruk Mustafic, Francisco Herrera, Ning Xiong, Sergio Ramírez-Gallego
2017 J jnl
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark.
IEEE Trans. Syst. Man Cybern. Syst.
Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera
2017 J jnl
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data.
Knowl. Based Syst.
Jesús Maillo, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera
2016 J jnl
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR
Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera
2016 J jnl
Data discretization: taxonomy and big data challenge.
WIREs Data Mining Knowl. Discov.
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera
2016 J jnl
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.
IEEE Trans. Cybern.
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2015 — conf
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.
CORES
Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
2015 — conf
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark.
TrustCom/BigDataSE/ISPA (2)
Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego
2014 J jnl
On the statistical analysis of the parameters' trend in a machine learning algorithm.
Prog. Artif. Intell.
Salvador García, Joaquín Derrac, Sergio Ramírez-Gallego, Francisco Herrera
2012 — conf
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com.
ICEIS (2)
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García
2012 J jnl
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com.
Expert Syst. Appl.
Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García