A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. - Jesús Maillo; Isaac Triguero; Francisco Herrera (TrustCom/BigDataSE/ISPA (2), 2015)

Evolutionary undersampling for extremely imbalanced big data classification under apache spark. - Isaac Triguero; Mikel Galar; D. Merino; Jesús Maillo; Humberto Bustince; Francisco Herrera (CEC, 2016)

From Big Data to Smart Data with the K-Nearest Neighbours Algorithm. - Isaac Triguero; Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera (iThings/GreenCom/CPSCom/SmartData, 2016)

Exact fuzzy k-nearest neighbor classification for big datasets. - Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera; Isaac Triguero (FUZZ-IEEE, 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)

A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. - Jesús Maillo; Julián Luengo; Salvador García 001; Francisco Herrera; Isaac Triguero (FUZZ-IEEE, 2018)

A First Approach on Big Data Missing Values Imputation. - Besay Montesdeoca; Julián Luengo; Jesús Maillo; Diego García-Gil; Salvador García 001; Francisco Herrera (IoTBDS, 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 001; Francisco Herrera (WIREs Data Mining Knowl. Discov., 2019)

Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data. - Jesús Maillo; Isaac Triguero; Francisco Herrera (IEEE Access, 2020)

Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data. - Jesús Maillo; Salvador García 001; Julián Luengo; Francisco Herrera; Isaac Triguero (IEEE Trans. Fuzzy Syst., 2020)