Jesús Maillo

According to our database, Jesús Maillo authored at least 10 papers between 2015 and 2020.

Collaborative distances:

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

2020

Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data.

Jesús Maillo, Salvador García, Julián Luengo, Francisco Herrera, Isaac Triguero

IEEE Trans. Fuzzy Syst., 2020

Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data.

Jesús Maillo, Isaac Triguero, Francisco Herrera

IEEE Access, 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

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

2018

A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification.

Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero

Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

2017

kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data.

Jesús Maillo, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera

Knowl. Based Syst., 2017

Exact fuzzy k-nearest neighbor classification for big datasets.

Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero

Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016

From Big Data to Smart Data with the K-Nearest Neighbours Algorithm.

Isaac Triguero, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera

Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Evolutionary undersampling for extremely imbalanced big data classification under apache spark.

Isaac Triguero, Mikel Galar, D. Merino, Jesús Maillo, Humberto Bustince, Francisco Herrera

Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015

A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification.

Jesús Maillo, Isaac Triguero, Francisco Herrera

Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015