Diego Jesús García Gil

Contact

djgarcia@decsai.ugTQ04YOyR0r.es

Organization

UGR

Researcher Profile

Total From 2019:
Citas Total: 755 From 2019: 725
Índice H Total: 9 From 2019: 9
Índice i10 Total: 9 From 2019: 9

Papers (29)

Title Authors Year
Multi-step Histogram Based Outlier Scores for Unsupervised Anomaly Detection: ArcelorMittal Engineering Dataset Case of Study I Aguilera-Martos, M García-Barzana, D García-Gil, J Carrasco, D López, .... 2023
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series D López, I Aguilera-Martos, M García-Barzana, F Herrera, D García-Gil, .... 2023
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms J Carrasco, I Markova, D López, I Aguilera, D García, M García-Barzana, .... 2021
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
Big data preprocessing J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera. 2020
Smart Data driven Decision Trees Ensemble Methodology for Imbalanced Big Data D García-Gil, S García, N Xiong, F Herrera. 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
Smart Data: Filtrado de Ruido para Big Data DJG Gil, J Luengo, SG Gil, F Herrera. 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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