Publications Listing

SCI2S Publications (J. Maillo)

Number of Results: 11

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[2790] J. Maillo, S. García, J. Luengo, F. Herrera, I. Triguero. Fast and Scalable Approaches to Accelerate the Fuzzy k Nearest Neighbors Classifier for Big Data. IEEE Transactions on Fuzzy Systems 28(5): 874-886 (2020). doi: 10.1109/TFUZZ.2019.2936356

[2543] I. Triguero, D. García-Gil, J. Maillo, J. Luengo, S. García, F. Herrera. Transforming big data into smart data: An insight on the use of the k nearest neighbors algorithm to obtain quality data. Wiley Interdisciplinary Reviews. Data Mining and Knowledge Discovery. e1289. doi: 10.1002/widm.1289
[3091] B. Montesdeoca, J. Luengo, J. Maillo, D. García-Gil, S. García, F. Herrera. A First Approach on Big Data Missing Values Imputation. IoTBDS 2019: 315-323. doi: 10.5220/0007738403150323

[2511] J. Maillo, J. Luengo, S. Garcia, F. Herrera, I. Triguero. A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2018), Rio de Janeiro (Brazil), July 8-13. doi: 10.1109/FUZZ-IEEE.2018.8491595
[2514] J. Maillo, J. Luengo, S. Garcia, F. Herrera, I. Triguero.. Un enfoque aproximado para acelerar el algoritmo de clasificacion Fuzzy kNN para Big Data. II Workshop en Big Data y Análisis de Datos Escalable (BigDADE 2018), Granada (España), 23-26 octubre 2018.

[2089] J. Maillo, S. Ramírez-Gallego, I. Triguero, F. Herrera. kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowledge-Based Systems 117 (2017) 3-15. doi: 10.1016/j.knosys.2016.06.012
[2310] J. Maillo, J. Luengo, S. Garcia, F. Herrera, I. Triguero. Exact Fuzzy k-Nearest Neighbor Classification for Big Datasets. IEEE Conference on Fuzzy Systems (FUZZ-IEEE 2017), Naples (Italy), July 9-12.

[2099] I. Triguero, M. Galar, D. Merino, J. Maillo, H. Bustince, F. Herrera. Evolutionary Undersampling for Extremely Imbalanced Big Data Classification under Apache Spark. IEEE Congress on Evolutionary Computation (CEC 2016), Vancouver (Canada), 640-647, July 24-29. doi: 10.1109/CEC.2016.7743853
[2138] I. Triguero, J. Maillo, J. Luengo, S. García, F. Herrera. From Big data to Smart Data with the K-Nearest Neighbours algorithm. The 2016 IEEE International Conference on Smart Data (SmartData 2016), Chengdu (China), Dec 16-19, 2016. doi: 10.1109/iThings-GreenCom-CPSCom-SmartData.2016.177

[1950] J. Maillo, I. Triguero, F. Herrera. A MapReduce-based k-Nearest Neighbor Approach for Big Data Classification. 9th International Conference on Big Data Science and Engineering (IEEE BigDataSE-15), Helsinki (Finland), 167-172, August 20-22, 2015.. doi: 10.1109/Trustcom.2015.577
[2003] J. Maillo, I. Triguero, F. Herrera. Un enfoque MapReduce del algoritmo de clasificación k-vecinos más cercanos para Big Data. 1er Workshop en Big Data y Análisis de Datos Escalable (BigDADE I), Albacete (España), 9-12 noviembre 2015.