Sergio Ramírez-Gallego
Sergio Ramírez-Gallego
PhD. Student Computer Science, University of Granada
Verified email at decsai.ugr.es
Title
Cited by
Cited by
Year
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
1772017
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
1562012
Big data preprocessing: methods and prospects
S García, S Ramírez-Gallego, J Luengo, JM Benítez, F Herrera
Big Data Analytics 1 (1), 9, 2016
1532016
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, 2015
1062015
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
1022018
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
952016
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
692017
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
592017
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), 1-11, 2017
562017
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
372017
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification
S Ramirez-Gallego, S Garcia, JM Benitez, F Herrera
IEEE Transactions on Cybernetics, 2015
362015
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
242018
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
212018
Distributed entropy minimization discretizer for big data analysis under apache spark
S Ramírez-Gallego, S García, H Mouriño-Talín, D Martínez-Rego, ...
2015 IEEE Trustcom/BigDataSE/ISPA 2, 33-40, 2015
202015
Big Data: Preprocesamiento y calidad de datos
F Herrera
novática, 17, 2016
162016
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
122016
Online entropy-based discretization for data streaming classification
S Ramírez-Gallego, S García, F Herrera
Future Generation Computer Systems 86, 59-70, 2018
92018
Big Data Preprocessing: Enabling Smart Data
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera
Springer Nature, 2020
72020
BELIEF: A distance-based redundancy-proof feature selection method for Big Data
S Ramírez-Gallego, S García, N Xiong, F Herrera
arXiv preprint arXiv:1804.05774, 2018
42018
On the statistical analysis of the parameters’ trend in a machine learning algorithm
S García, J Derrac, S Ramírez-Gallego, F Herrera
Progress in Artificial Intelligence 3 (1), 51-53, 2014
32014
The system can't perform the operation now. Try again later.
Articles 1–20