Diego García-Gil

According to our database, Diego García-Gil authored at least 14 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series.

David López, Ignacio Aguilera-Martos, Marta García-Bárzana, Francisco Herrera, Diego García-Gil, Julián Luengo

Inf. Fusion, December, 2023

Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.

Ignacio Aguilera-Martos, Marta García-Bárzana, Diego García-Gil, Jacinto Carrasco, David López, Julián Luengo, Francisco Herrera

Neurocomputing, August, 2023

2021

Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms.

Jacinto Carrasco, David López, Ignacio Aguilera-Martos, Diego García-Gil, Irina Markova, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera

Neurocomputing, 2021

2020

Smart Data based Ensemble for Imbalanced Big Data Classification.

Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera

CoRR, 2020

Big Data Preprocessing - Enabling Smart Data

Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Springer, ISBN: 978-3-030-39104-1, 2020

2019

Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data.

Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera

WIREs Data Mining Knowl. Discov., 2019

Enabling Smart Data: Noise filtering in Big Data classification.

Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera

Inf. Sci., 2019

From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification.

Diego García-Gil, Francisco Luque Sánchez, Julián Luengo, Salvador García, Francisco Herrera

Int. J. Intell. Syst., 2019

A First Approach on Big Data Missing Values Imputation.

Besay Montesdeoca, Julián Luengo, Jesús Maillo, Diego García-Gil, Salvador García, Francisco Herrera

Proceedings of the 4th International Conference on Internet of Things, 2019

Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries.

Diego García-Gil, Alejandro Alcalde-Barros, Julián Luengo, Salvador García, Francisco Herrera

Proceedings of the 4th International Conference on Internet of Things, 2019

2018

MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems.

Diana Martín, María Martínez-Ballesteros, Diego García-Gil, Jesús Alcalá-Fdez, Francisco Herrera, José Cristóbal Riquelme Santos

Knowl. Based Syst., 2018

Principal Components Analysis Random Discretization Ensemble for Big Data.

Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Knowl. Based Syst., 2018

DPASF: A Flink Library for Streaming Data preprocessing.

Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera

CoRR, 2018

On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data.

Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera

Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018