Sergio Ramírez-Gallego
Sergio Ramírez-Gallego
PhD. ML and Computer Science
Verified email at
Cited by
Cited by
Big data preprocessing: methods and prospects
S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera
Big data analytics 1, 1-22, 2016
A survey on data preprocessing for data stream mining: Current status and future directions
S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, F Herrera
Neurocomputing 239, 39-57, 2017
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data
J Maillo, S Ramírez, I Triguero, F Herrera
Knowledge-Based Systems 117, 3-15, 2017
Web usage mining to improve the design of an e-commerce website: OrOliveSur. com
CJ Carmona, S Ramírez-Gallego, F Torres, E Bernal, MJ del Jesus, ...
Expert Systems with Applications 39 (12), 11243-11249, 2012
Data discretization: taxonomy and big data challenge
S Ramírez‐Gallego, S García, H Mouriño‐Talín, D Martínez‐Rego, ...
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6 (1), 5-21, 2016
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce
S Ramírez-Gallego, A Fernández, S García, M Chen, F Herrera
Information Fusion 42, 51-61, 2018
Evolutionary feature selection for big data classification: A mapreduce approach
D Peralta, S Del Río, S Ramírez-Gallego, I Triguero, JM Benitez, ...
Mathematical Problems in Engineering 2015 (1), 246139, 2015
Fast‐mRMR: Fast minimum redundancy maximum relevance algorithm for high‐dimensional big data
S Ramírez‐Gallego, I Lastra, D Martínez‐Rego, V Bolón‐Canedo, ...
International Journal of Intelligent Systems 32 (2), 134-152, 2017
A comparison on scalability for batch big data processing on Apache Spark and Apache Flink
D García-Gil, S Ramírez-Gallego, S García, F Herrera
Big Data Analytics 2, 1-11, 2017
An information theory-based feature selection framework for big data under apache spark
S Ramírez-Gallego, H Mouriño-Talín, D Martínez-Rego, V Bolón-Canedo, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 48 (9), 1441-1453, 2017
Big data preprocessing
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera
Cham: Springer, 2020
Nearest neighbor classification for high-speed big data streams using spark
S Ramírez-Gallego, B Krawczyk, S García, M Woźniak, JM Benítez, ...
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (10), 2727-2739, 2017
Principal components analysis random discretization ensemble for big data
D García-Gil, S Ramírez-Gallego, S García, F Herrera
Knowledge-Based Systems 150, 166-174, 2018
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification
S Ramirez-Gallego, S Garcia, JM Benitez, F Herrera
IEEE Transactions on Cybernetics, 2015
Big Data: Preprocesamiento y calidad de datos
F Herrera
novática 237, 17, 2016
A forecasting methodology for workload forecasting in cloud systems
FJ Baldan, S Ramirez-Gallego, C Bergmeir, F Herrera, JM Benitez
IEEE Transactions on Cloud Computing 6 (4), 929-941, 2016
A distributed evolutionary multivariate discretizer for big data processing on apache spark
S Ramírez-Gallego, S García, JM Benítez, F Herrera
Swarm and Evolutionary Computation 38, 240-250, 2018
Distributed entropy minimization discretizer for big data analysis under apache spark
S Ramirez-Gallego, S Garcia, H Mourino-Talin, D Martinez-Rego, ...
2015 IEEE Trustcom/BigDataSE/ISPA 2, 33-40, 2015
Online entropy-based discretization for data streaming classification
S Ramírez-Gallego, S García, F Herrera
Future Generation Computer Systems 86, 59-70, 2018
BELIEF: A distance-based redundancy-proof feature selection method for Big Data
D López, S Ramírez-Gallego, S García, N Xiong, F Herrera
Information Sciences 558, 124-139, 2021
The system can't perform the operation now. Try again later.
Articles 1–20