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ORCIDSergio Ramírez-Gallego
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2020 – today
- 2021
[j15]David López, Sergio Ramírez-Gallego
, Salvador García, Ning Xiong, Francisco Herrera:
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. Inf. Sci. 558: 124-139 (2021)- 2020
- [b1]Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Big Data Preprocessing - Enabling Smart Data. Springer 2020, ISBN 978-3-030-39104-1, pp. 1-186
2010 – 2019
- 2018
- [j14]Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Online entropy-based discretization for data streaming classification. Future Gener. Comput. Syst. 86: 59-70 (2018) - [j13]Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera:
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce. Inf. Fusion 42: 51-61 (2018) - [j12]Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Principal Components Analysis Random Discretization Ensemble for Big Data. Knowl. Based Syst. 150: 166-174 (2018) - [j11]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm Evol. Comput. 38: 240-250 (2018) - [j10]Francisco Javier Baldan, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Trans. Cloud Comput. 6(4): 929-941 (2018) - [j9]Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera:
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1441-1453 (2018) - [c5]Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. HAIS 2018: 15-26 - [i2]Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera:
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. CoRR abs/1804.05774 (2018) - 2017
- [j8]Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos:
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. 32(2): 134-152 (2017) - [j7]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera:
A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239: 39-57 (2017) - [j6]Jesús Maillo, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera:
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowl. Based Syst. 117: 3-15 (2017) - [j5]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera:
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2727-2739 (2017) - [c4]Faruk Mustafic, Francisco Herrera, Ning Xiong, Sergio Ramírez-Gallego:
MapReduce distributed highly random fuzzy forest for noisy big data. ICNC-FSKD 2017: 560-567 - 2016
- [j4]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Trans. Cybern. 46(3): 595-608 (2016) - [j3]Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera:
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6(1): 5-21 (2016) - [i1]Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera:
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR abs/1610.04154 (2016) - 2015
- [c3]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. CORES 2015: 47-58 - [c2]Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego:
Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. TrustCom/BigDataSE/ISPA (2) 2015: 33-40 - 2014
- [j2]Salvador García, Joaquín Derrac, Sergio Ramírez-Gallego, Francisco Herrera:
On the statistical analysis of the parameters' trend in a machine learning algorithm. Prog. Artif. Intell. 3(1): 51-53 (2014) - 2012
- [j1]Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García:
Web usage mining to improve the design of an e-commerce website: OrOliveSur.com. Expert Syst. Appl. 39(12): 11243-11249 (2012) - [c1]Cristóbal J. Carmona, Sergio Ramírez-Gallego, F. J. Torres, Enrique Bernal, María José del Jesus, Salvador García:
Subgroup Discovery Applied to the e-Commerce Website OrOliveSur.com. ICEIS (2) 2012: 239-244
Coauthor Index
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