Diego Jesús García Gil

Category

PhD

Contact

djgarciaFCbnjbz3@eeB@decsai.ugr.es

Organization

UGR

Researcher Profile

Total From 2016:
Citas Total: 204 From 2016: 204
Índice H Total: 6 From 2016: 6
Índice i10 Total: 5 From 2016: 5

Papers (25)

Title Authors Year
Smart Data based Ensemble for Imbalanced Big Data Classification D García-Gil, J Holmberg, S García, N Xiong, F Herrera. 2020
Big Data: Technologies and Tools J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Smart Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Final Thoughts: From Big Data to Smart Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Big Data Discretization J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Imbalanced Data Preprocessing for Big Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Big Data Software J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Dimensionality Reduction for Big Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Data Reduction for Big Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Big Data Preprocessing: Enabling Smart Data J Luengo. 2020
Imperfect Big Data J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Big Data ensembles for classification and Smart Data extraction DJ García Gil. 2020
Enabling smart data: noise filtering in big data classification D García-Gil, J Luengo, S García, F Herrera. 2019
Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data I Triguero, D García‐Gil, J Maillo, J Luengo, S García, F Herrera. 2019
DPASF: a flink library for streaming data preprocessing A Alcalde-Barros, D García-Gil, S García, F Herrera. 2019
A First Approach on Big Data Missing Values Imputation B Montesdeoca, J Luengo, J Maillo, D García-Gil, S García, F Herrera. 2019
From Big to Smart Data: Iterative Ensemble Filter for Noise Filtering in Big Data classification FH Diego Garcia, Francisco Luque-Sánchez, Julián Luengo, Salvador García. 2019
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries D Garcıa-Gil, A Alcalde-Barros, J Luengo, S Garcıa, F Herrera. 2019
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. D García-Gil, A Alcalde-Barros, J Luengo, S García, F Herrera. 2019
MRQAR: a generic MapReduce framework to discover Quantitative Association Rules in Big Data problems D Martin, M Martinez-Ballesteros, D Garcia-Gil, J Alcala-Fdez, .... 2018
Principal components analysis random discretization ensemble for big data D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2018
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2018
Bagging-RandomMiner-Un Algoritmo en MapReduce para Deteccion de Anomalıas en Big Data L Pereyra, D Garcıa-Gil, F Herrera, LC González-Gurrola, J Carrasco, .... 2018
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. 2017

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