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2018

Luna, J M; Padillo, F; M., Pechenizkiy; Ventura, S

Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data Journal Article

IEEE Trans. Cybernetics, 48 (10), pp. 2851–2865, 2018.

Links | BibTeX | Tags: Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Spark

Padillo, F; Luna, J M; F., Herrera; Ventura, S

Mining association rules on Big Data through MapReduce genetic programming Journal Article

Integrated Computer-Aided Engineering, 25 (1), pp. 31–48, 2018.

Links | BibTeX | Tags: Association Rule Mining, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark

Gonzalez-Lopez, J; Ventura, S; Cano, A

Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark Journal Article

Future Generation Computer Systems, 87 , pp. 66-82, 2018.

Links | BibTeX | Tags: Classification, Multi-label Learning, Spark

Pérez, E; González, L D; Sánchez, L M; Reyes, O; Ventura, S

JCLAL 2.0: mejoras y nuevas funcionalidades en la herramienta Java de código abierto para el aprendizaje activo Inproceedings

XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA), Granada, Spain, 2018.

Links | BibTeX | Tags: Active Learning, Scalability, Software Design and Development, Spark

2017

Padillo, F; Luna, J M; Ventura, S

An evolutionary algorithm for mining rare association rules: A Big Data approach Inproceedings

2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebastián, Spain, June 5-8, 2017, pp. 2007–2014, 2017.

Links | BibTeX | Tags: Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark, Unsupervised Learning

Padillo, F; Luna, J M; Ventura, S

Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark Journal Article

Progress in Artificial Intelligence, 6 (2), pp. 145–158, 2017.

Links | BibTeX | Tags: Big Data Mining, Hadoop, Pattern Mining, Spark, Subgroup Discovery

Luna, J M; Padillo, F; Pechenizkiy, M; Ventura, S

Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data Journal Article

IEEE Transactions on Cybernetics, 99 (PP), pp. 1-15, 2017.

Links | BibTeX | Tags: Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Spark, Unsupervised Learning

Gonzalez-Lopez, J; Cano, A; Ventura, S

Large-scale multi-label ensemble learning on Spark Inproceedings

Proceedings of the 11th IEEE International Conference On Big Data Science And Engineering, pp. 893-900, 2017.

BibTeX | Tags: Multi-label Learning, Scalability, Spark

2016

Padillo, F; Luna, J M; Ventura, S

Subgroup discovery on Big Data: exhaustive methodologies using Map-Reduce Inproceedings

Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA, pp. 1684–1691, Tianjin, China, 2016.

Links | BibTeX | Tags: Big Data Mining, Pattern Mining, Scalability, Spark, Subgroup Discovery

Padillo, F; Luna, J M; Ventura, S; Herrera, F

Algoritmo de programación genética gramatical para la extracción de reglas de asociación en Big Data usando el paradigma MapReduce Inproceedings

XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 137-148, 2016, ISBN: 978-84-9012-632-5.

BibTeX | Tags: Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark, Unsupervised Learning

Padillo, F; Luna, J M; Ventura, S

Búsquedas exhaustivas de subgrupos con MapReduce en Big Data Inproceedings

VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA'16), pp. 779-788, 2016, ISBN: 978-84-9012-632-5.

BibTeX | Tags: Big Data Mining, Pattern Mining, Scalability, Spark