kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data J Maillo, S Ramírez, I Triguero, F Herrera Knowledge-Based Systems 117, 3-15, 2017 | 385 | 2017 |
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 | 238 | 2019 |
A mapreduce-based k-nearest neighbor approach for big data classification J Maillo, I Triguero, F Herrera 2015 IEEE Trustcom/BigDataSE/ISPA 2, 167-172, 2015 | 106 | 2015 |
Evolutionary undersampling for extremely imbalanced big data classification under apache spark I Triguero, M Galar, D Merino, J Maillo, H Bustince, F Herrera 2016 IEEE congress on evolutionary computation (CEC), 640-647, 2016 | 80 | 2016 |
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data J Maillo, S García, J Luengo, F Herrera, I Triguero IEEE Transactions on Fuzzy Systems 28 (5), 874-886, 2019 | 47 | 2019 |
Redundancy and complexity metrics for big data classification: towards smart data J Maillo, I Triguero, F Herrera IEEE Access 8, 87918-87928, 2020 | 39 | 2020 |
Exact fuzzy k-nearest neighbor classification for big datasets J Maillo, J Luengo, S García, F Herrera, I Triguero 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2017 | 35 | 2017 |
From big data to smart data with the k-nearest neighbours algorithm I Triguero, J Maillo, J Luengo, S García, F Herrera 2016 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2016 | 22 | 2016 |
A preliminary study on hybrid spill-tree fuzzy k-nearest neighbors for big data classification J Maillo, J Luengo, S García, F Herrera, I Triguero 2018 IEEE international conference on fuzzy systems (fuzz-IEEE), 1-8, 2018 | 11 | 2018 |
Un enfoque MapReduce del algoritmo k-vecinos más cercanos para Big Data J Maillo, I Triguero, F Herrera 1er Workshop en Big Data y Análisis de Datos Escalable (BigDADE I), Albacete …, 2015 | 6* | 2015 |
A First Approach on Big Data Missing Values Imputation B Montesdeoca, J Luengo, J Maillo, D García-Gil, S García, F Herrera 4th International Conference on Internet of Things, Big Data and Security. 2 …, 2019 | 5 | 2019 |
Un enfoque aproximado para acelerar el algoritmo de clasificacion Fuzzy kNN para Big Data J Maillo, J Luengo, S Garcıa, F Herrera, I Triguero II Workshop en Big Data y Análisis de Datos Escalable (BigDADE 2018 …, 2018 | 2 | 2018 |
Fast k-nearest neighbors for Big Data and Smart Data J Maillo University of Granada, 2020 | 1* | 2020 |