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Diego García-Gil
Diego García-Gil
Assistant Professor, University of Granada
Dirección de correo verificada de ugr.es
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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
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 9 (2 …, 2019
2032019
Enabling smart data: noise filtering in big data classification
D García-Gil, J Luengo, S García, F Herrera
Information Sciences 479, 135-152, 2019
1662019
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, 2017
1282017
Big data preprocessing
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera
Cham: Springer, 2020
1072020
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
512018
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
D Martín, M Martínez-Ballesteros, D García-Gil, J Alcalá-Fdez, F Herrera, ...
Knowledge-Based Systems 153, 176-192, 2018
412018
Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms
J Carrasco, D López, I Aguilera-Martos, D García-Gil, I Markova, ...
Neurocomputing 462, 440-452, 2021
342021
From big to smart data: Iterative ensemble filter for noise filtering in big data classification
D García‐Gil, F Luque‐Sánchez, J Luengo, S García, F Herrera
International Journal of Intelligent Systems 34 (12), 3260-3274, 2019
252019
DPASF: a flink library for streaming data preprocessing
A Alcalde-Barros, D García-Gil, S García, F Herrera
Big Data Analytics 4, 1-17, 2019
142019
Imbalanced data preprocessing for big data
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera, ...
Big Data Preprocessing: Enabling Smart Data, 147-160, 2020
82020
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, ...
Neurocomputing 544, 126228, 2023
62023
Smart data
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera, ...
Big Data Preprocessing: Enabling Smart Data, 45-51, 2020
42020
Dimensionality reduction for big data
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera, ...
Big Data Preprocessing: Enabling Smart Data, 53-79, 2020
42020
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, ...
Information Fusion 100, 101957, 2023
32023
Big data: Technologies and tools
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera, ...
Big data preprocessing: Enabling smart data, 15-43, 2020
32020
Data reduction for big data
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera, ...
Big Data Preprocessing: Enabling Smart Data, 81-99, 2020
32020
Big data preprocessing as the bridge between big data and smart data: BigDaPSpark and BigDaPFlink libraries
DJ García Gil, A Alcalde Barros, J Luengo Martín, S García López, ...
SciTePress, 2019
32019
Final Thoughts: From Big Data to Smart Data
J Luengo, D García-Gil, S Ramírez-Gallego, S García, F Herrera, ...
Big Data Preprocessing: Enabling Smart Data, 183-186, 2020
22020
Smart Data based Ensemble for Imbalanced Big Data Classification
D Garcıa-Gila, J Holmbergb, S Garcıaa, N Xiongb, F Herreraa
arXiv preprint arXiv:2001.05759, 2020
22020
Smart data driven decision trees ensemble methodology for imbalanced big data
D García-Gil, S García, N Xiong, F Herrera
arXiv preprint arXiv:2001.05759, 2020
12020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20