Show all

2018

Salado-Cid, R; Ramírez, A; Romero, J R

On the need of opening the Big Data landscape to everyone: challenges and new trends Incollection

Linnhoff-Popien, C; Schneider, R; Zaddach, M (Ed.): Digital Marketplaces Unleashed, pp. 675-687, Springer Berlin Heidelberg, Berlin, Heidelberg, 2018, ISBN: 978-3-662-49275-8.

Links | BibTeX | Tags: Big Data Mining, Data Science, Scientific workflows

Cano, A

A survey on graphic processing unit computing for large-scale data mining Journal Article

Wiley Interdisciplinary Reviews - Data Mining and Knowledge Discovery, 8 (1), pp. e1232, 2018.

Links | BibTeX | Tags: Big Data Mining, Classification, GP-GPU, Scalability

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

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

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

Luna, J M; Cano, A; Pechenizkiy, M; Ventura, S

Speeding-Up Association Rule Mining With Inverted Index Compression Journal Article

IEEE Transactions on Cybernetics, 46 (12), pp. 3059-3072, 2016.

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

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

A Data Structure to Speed-Up Machine Learning Algorithms on Massive Datasets Inproceedings

Proceedings of the 11th International Conference on Hybrid Artificial Intelligence Systems, pp. 365-376, Seville, Spain, 2016.

Links | BibTeX | Tags: Big Data Mining, Scalability

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

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

Minería de patrones en Big Data Inproceedings

VIII Simposio Teoría y Aplicaciones de Minería de Datos (TAMIDA'16), pp. 769-778, 2016, ISBN: 978-84-9012-632-5.

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

Ventura, S; Luna, J M; Cano, A

Big Data on Real-World Applications Book

1st, InTech, 2016, ISBN: 978-953-51-2490-0.

Links | BibTeX | Tags: Big Data Mining