SCI2S Publications (S. Ramírez-Gallego)

Number of Results: 25

Jump to Year: In Press, 2018, 2017, 2016, 2015, 2014, 2012

Jump to Graph

In Press (1)

• [2171] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J.M. Benítez, A. Alonso-Betanzos, F. Herrera. An Information Theory-Based Feature Selection Framework for Big Data under Apache Spark. IEEE Transactions on Systems, Man, and Cybernetics: Systems (2017), in press. doi: 10.1109/TSMC.2017.2670926
  

2018 (6)

• [2319] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm and Evolutionary Computation 38 (2018) 240-250. doi: 10.1016/j.swevo.2017.08.005
  
• [2338] S. Ramírez-Gallego, A. Fernández, S. García, M. Chen, F. Herrera. Big Data: Tutorial and Guidelines on Information and Process Fusion for Analytics Algorithms with MapReduce. Information Fusion 42 (2018) 51-61. doi: 10.1016/j.inffus.2017.10.001
  
• [2580] D. García-Gil, S. Ramírez-Gallego, S. García, F. Herrera. Principal Components Analysis Random Discretization Ensemble for Big Data. Knowledge-Based Systems, 150, 2018, 166-174. doi: 10.1016/j.knosys.2018.03.012
  
• [2581] D. García-Gil, S. Ramírez-Gallego, S. García, F. Herrera. On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. International Conference on Hybrid Artificial Intelligence Systems, 2018, 15-26. doi: 10.1007/978-3-319-92639-1_2
  
• [2585] S. Ramírez-Gallego, S. García, F. Herrera. Online entropy-based discretization for data streaming classification. Future Generation Computer Systems 86, 2018, 59-70. doi: 10.1016/j.future.2018.03.008
  
• [2611] S. Ramírez-Gallego. Distributed data reduction algorithms for Big Data. Department of Computer Science and Artificial Intelligence, University of Granada.
  Advisor: F. Herrera, S. García
  Bibliography information
  
  

2017 (7)

• [2089] J. Maillo, S. Ramírez-Gallego, I. Triguero, F. Herrera. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowledge-Based Systems 117 (2017) 3-15. doi: 10.1016/j.knosys.2016.06.012
  
• [2096] S. Ramírez-Gallego, I. Lastra, D. Martínez-Rego, V. Bolón-Canedo, J.M. Benítez, F. Herrera, A. Alonso-Betanzos. Fast-mRMR: Fast minimum Redundancy Maximum Relevance algorithm for high dimensional big data. International Journal of Intelligent Systems 32:2 (2017) 134-152. doi: 10.1002/int.21833
  
• [2133] S. García, S. Ramírez-Gallego, J. Luengo, F. Herrera. Big Data: Preprocesamiento y calidad de datos. Novática (Revista de la Asociación de Técnicos de Informática), Monografía Big Data, 237 (2017) 17-23..
  Enlace a la revista completa
  
  
• [2153] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, F. Herrera. A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239 (2017) 39-57. doi: 10.1016/j.neucom.2017.01.078
  
• [2160] D. García-Gil, S. Ramírez-Gallego, S. García, F. Herrera. A comparison on scalability for batch big data processing on Apache Spark and Apache Flink. Big Data Analytics 2:1 (2017) 1. doi: 10.1186/s41044-016-0020-2
  
• [2170] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, J.M. Benítez, F. Herrera. Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Transactions on Systems, Man, and Cybernetics: Systems 47:10 (2017) 2727-2739. doi: 10.1109/TSMC.2017.2700889
  
• [2595] S. Ramírez-Gallego, B. Krawczyk, S. García, M. Wozniak, J.M. Benítez, F. Herrera. Fast Case-Based Reasoning for Large-Scale Streaming Classification. 8th International Conference of Pattern Recognition Systems (ICPRS 2017), Madrid (Spain), July 11-13, 2017. doi: 10.1049/cp.2017.0150
  

2016 (5)

• [1896] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Transaction on Cybernetics 46:3 (2016) 595-608. doi: 10.1109/TCYB.2015.2410143
  
• [1996] S. Ramírez-Gallego, S. García, H. Mouriño Talín, D. Martínez-Rego, V. Bolón-Canedo, A. Alonso-Betanzos, J. M. Benítez, F. Herrera. Data discretization: taxonomy and big data challenge. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 6:1 (2016) 5-21. doi: 10.1002/widm.1173
  
• [2162] S. García, S. Ramírez-Gallego, J. Luengo, J.M. Benítez, F. Herrera. Big data preprocessing: methods and prospects. Big Data Analytics 1:9 (2016). doi: 10.1186/s41044-016-0014-0
  
• [2178] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. Discretización Multivariada basada en Selección de Puntos Evolutiva para Clasificación. XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), XI Symposio de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB), September 14-16, 2016.
  
• [2280] F.J. Baldán, S. Ramirez-Gallego, C. Bergmeir, J. M. Benitez-Sanchez, F. Herrera. A Forecasting Methodology for Workload Forecasting in Cloud Systems. Actas de la XVII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2016), VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA 2016), Salamanca (Spain), pp. 765-766, September 14-16, 2016.
  

2015 (4)

• [1939] D. Peralta, S. Río, S. Ramírez-Gallego, I. Triguero, J.M. Benítez, F. Herrera. Evolutionary Feature Selection for Big Data Classification: A MapReduce Approach. Mathematical Problems in Engineering, vol. 2015, Article ID 246139 (2015) 11 pages. doi: 10.1155/2015/246139
  
• [2063] S. Ramírez-Gallego, S. Garcia, H. Mourino-Talin, D. Martinez-Rego, V. Bolon-Canedo, A. Alonso-Betanzos, J.M. Benítez, F. Herrera. Distributed Entropy Minimization Discretizer for Big Data Analysis under Apache Spark. 9th International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), Helsinki (Finland), 33-40, August 20-22, 2015. doi: 10.1109/Trustcom.2015.559
  
• [2168] S. Ramírez-Gallego, S. García, J.M. Benítez, F. Herrera. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. In: Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015. Advances in Intelligent Systems and Computing, vol 403. Springer, Cham. doi: 10.1007/978-3-319-26227-7_5
  
• [2175] S. Ramírez-Gallego, H. Mouriño-Talín, D. Martínez-Rego, V. Bolón-Canedo, J. M. Benítez, A. Alonso-Betanzos, F. Herrera. Un Framework de Selección de Características basado en la Teoría de la Información para Big Data sobre Apache Spark. XVI Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), 1er Workshop en Big Data y Análisis de Datos Escalable, November 9-12, 2015.
  

2014 (1)

• [2432] S. García, J. Derrac, S. Ramírez-Gallego, F. Herrera. On the statistical analysis of the parameters’ trend in a machine learning algorithm. Progress in Artificial Intelligence 3:1 (2014) 51-53. doi: 10.1007/s13748-014-0043-8
  

2012 (1)

• [1710] C.J. Carmona, S. Ramírez-Gallego, F. Torres, E. Bernal, M.J. del Jesus, S. García. Web usage mining to improve the design of an e-commerce website: OrOliveSur.com . Expert Systems with Applications 39 (2012) 11243-11249. doi: 10.1016/j.eswa.2012.03.046