284 entries « 1 of 6 »

2019

Cano, A; Krawczyk, B

Evolving Rule-Based Classifiers with Genetic Programming on GPUs for Drifting Data Streams Journal Article

Pattern Recognition, 87 , pp. 248-268, 2019.

Links | BibTeX | Tags: Classification, Classification Rules, Genetic Programming, GP-GPU, Grammar-Based Genetic Programming

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

Reyes, O; Cano, A; Fardoun, H; Ventura, S

A locally weighted learning method based on a data gravitation model for multi-target regression Journal Article

International Journal of Computational Intelligence Systems, 11 (1), pp. 282-295, 2018.

BibTeX | Tags: Multi-label Learning, Supervised Learning

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

Barbudo, R; Romero, J R; Ventura, S

Aprendizaje automático con programación genética gramatical para la detección de patrones de diseño Inproceedings

Conferencia de la Asociaci'on Espa~nola para la Inteligencia Artificial - XI Congreso Espa~nol sobre Metaheur'isticas, Algoritmos Evolutivos y Bioinspirados (CAEPIA 2018), 2018.

Links | BibTeX | Tags: Classification Rules, Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design & Development

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

Luna, J M; M., Pechenizkiy; del J., Jesus M; Ventura, S

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming Journal Article

IEEE Trans. Cybernetics, 48 (11), pp. 3030–3044, 2018.

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

Ventura, S; Luna, J M

Supervised Descriptive Pattern Mining Book

Springer, 2018, ISBN: 978-3-319-98139-0.

Links | BibTeX | Tags: Association Rule Mining, Pattern Mining, Subgroup Discovery

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

Ramírez, A; Barbudo, R; Romero, J R; Ventura, S

Estudio de escalabilidad de implementaciones multiobjetivo en problemas con muchos objetivos Inproceedings

Conferencia de la Asociación Española para la Inteligencia Artificial - XI Congreso Español sobre Metaheuristicas, Algoritmos Evolutivos y Bioinspirados (CAEPIA - MAEB 2018), 2018.

Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Software Design and Development

Ramírez, A; Romero, J R; Ventura, S

Interactive Multi-Objective Evolutionary Optimization of Software Architectures Journal Article

Information Sciences, 463-464 , pp. 92-109, 2018, ISSN: 0020-0255.

Links | BibTeX | Tags: Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering

Ramírez, A; Romero, J R; Ventura, S

API para el desarrollo de algoritmos interactivos en ingeniería del software basada en búsqueda Inproceedings

XXIII Jornadas en Ingenieria del Software y Bases de Datos (JISBD'18), 2018.

Links | BibTeX | Tags: Search-based Software Engineering, Software Design and Development

Ramírez, A; Romero, J R; Simons, C L

A Systematic Review of Interaction in Search-Based Software Engineering Journal Article

IEEE Transactions on Software Engineering, In press , pp. 1-22, 2018, ISSN: 0098-5589.

Links | BibTeX | Tags: Search-based Software Engineering

Moyano, J M; Gibaja, E; C., Krzysztof J; Ventura, S

Review of ensembles of multi-label classifiers: Models, experimental study and prospects Journal Article

Information Fusion, 44 , pp. 33 - 45, 2018, ISSN: 1566-2535.

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

Salado-Cid, R; Molino, J; Romero, J R

Interoperabilidad de flujos de trabajo intensivos en datos en Industria 4.0: caso de estudio Inproceedings

I Workshop en Aplicaciones de la Inteligencia Artificial para la Industria 4.0 (Industria 4.0 2018), pp. 1333-1338, 2018, ISBN: 978-84-09-05643-9.

Links | BibTeX | Tags: Data Science, Scientific workflows

Skryjomski, P; Krawczyk, B; Cano, A

Speeding up k-Nearest Neighbors Classifier for Large-Scale Multi-Label Learning on GPUs Journal Article

Neurocomputing, In press , 2018.

BibTeX | Tags: Classification, GP-GPU, Multi-label Learning, Scalability

Djenouri, Y; Djenouri, D; Belhadi, A; Cano, A

Exploiting GPU and Cluster Parallelism in Single Scan Frequent Itemset Mining Journal Article

Information Sciences, In press , 2018.

Links | BibTeX | Tags: GP-GPU, Pattern Mining, Scalability

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

Krawczyk, B; Cano, A

Online Ensemble Learning with Abstaining Classifiers for Drifting and Noisy Data Streams Journal Article

Applied Soft Computing, 68 , pp. 677-692, 2018.

Links | BibTeX | Tags:

Melki, G; Kecman, V; Ventura, S; Cano, A

OLLAWV: OnLine Learning Algorithm using Worst-Violators Journal Article

Applied Soft Computing, 66 , pp. 384-393, 2018.

Links | BibTeX | Tags: Classification

Melki, G; Cano, A; Ventura, S

MIRSVM: Multi-Instance Support Vector Machine with Bag Representatives Journal Article

Pattern Recognition, 79 , pp. 228-241, 2018.

Links | BibTeX | Tags: Classification, Multi-instance Learning

Roseberry, M; Cano, A

Multi-label kNN Classifier with Self Adjusting Memory for Drifting Data Streams Inproceedings

LIDTA@PKDD/ECML, 2018.

BibTeX | Tags: Classification, Multi-label Learning

Cano, A; Krawczyk, B

Learning classification rules with differential evolution for high-speed data stream mining on GPUs Inproceedings

IEEE Congress on Evolutionary Computation, pp. 197-204, 2018.

BibTeX | Tags: Classification, Classification Rules, GP-GPU

Krawczyk, B; Cano, A; Wozniak, M

Selecting local ensembles for multi-class imbalanced data classification Inproceedings

International Joint Conference on Neural Networks, pp. 1848-1855, 2018.

BibTeX | Tags: Classification

Cano, A

Social Media and Machine Learning Book

1st, InTech, 2018, ISBN: 978-1-78984-028-5.

BibTeX | Tags: Data Science

2017

Sánchez, O; Moyano, J M; Sánchez, L; Alcalá-Fdez, J

Mining association rules in R using the package RKEEL Inproceedings

2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-6, 2017.

Links | BibTeX | Tags: Association Rule Mining, Data Mining Software

Moyano, J M; Gibaja, E; Ventura, S

An evolutionary algorithm for optimizing the target ordering in Ensemble of Regressor Chains Inproceedings

2017 IEEE Congress on Evolutionary Computation (CEC), pp. 2015-2021, 2017.

Links | BibTeX | Tags: Evolutionary Algorithms, Multi-label Learning, Supervised Learning

Rodriguez, F J; Glover, F; García-Martínez, C; Martí, R; Lozano, M

GRASP with exterior path-relinking and restricted local search for the multidimensional two-way number partitioning problem Journal Article

Computers & Operations Research, 78 , pp. 243–254, 2017, ISSN: 03050548.

Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics

Ramírez, A; Parejo, J A; Romero, J R; Segura, S; Ruiz-Cortés, A

Evolutionary composition of QoS-aware web services: a many-objective perspective Journal Article

Expert Systems with Applications, 72 , pp. 357-370, 2017, ISSN: 0957-4174.

Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering

Ramírez, A; Romero, J R; Ventura, S

On the effect of local search in the multi-objective evolutionary discovery of software architectures Inproceedings

IEEE Congress on Evolutionary Computation (CEC), pp. 2038–2045, IEEE, 2017.

Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Multi-objective Optimization, Search-based Software Engineering

Ramírez, A; Romero, J R; Ventura, S

Búsqueda coevolutiva interactiva aplicada al diseño de software Inproceedings

XXII Jornadas en Ingeniería del Software y Bases de Datos (JISBD'17), 2017.

Links | BibTeX | Tags: Bioinspired algorithms, Evolutionary Algorithms, Metaheuristics, Search-based Software Engineering

Bardudo, R; Ramírez, A; Romero, J R; Ventura, S

Descubrimiento de patrones de diseño basado en buenas prácticas: modelo y discusión Inproceedings

XXII Jornadas en Ingeniería del Software y Bases de Datos (JISBD'17), 2017.

Links | BibTeX | Tags: Evolutionary Algorithms, Grammar-Based Genetic Programming, Pattern Mining, Search-based Software Engineering

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

Altalhi, A H; Luna, J M; Vallejo, M A; Ventura, S

Evaluation and comparison of open source software suites for data mining and knowledge discovery Journal Article

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 7 (3), 2017.

Links | BibTeX | Tags: Data Mining Software, Data Science

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; Castro, C; Romero, C

MDM tool: A data mining framework integrated into Moodle Journal Article

Computer Applications in Engineering Education, 25 (1), pp. 90–102, 2017.

Links | BibTeX | Tags: Data Mining Software, Data Science, Educational Data Mining

Luna, J M; Pechenizkiy, M; del Jesus, M J; Ventura, S

Mining Context-Aware Association Rules Using Grammar-Based Genetic Programming Journal Article

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

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

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

Cano, A

An ensemble approach to multi-view multi-instance learning Journal Article

Knowledge-Based Systems, 136 , pp. 46-57, 2017.

Links | BibTeX | Tags: Classification, Multi-instance Learning, Multi-view 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

Cano, A; García-Martínez, C; Ventura, S

Extremely High-dimensional Optimization with MapReduce: Scaling Functions and Algorithm Journal Article

Information Sciences, 415-416 , pp. 110-127, 2017.

Links | BibTeX | Tags: Metaheuristics, Scalability

Melki, G; Cano, A; Kecman, V; Ventura, S

Multi-Target Support Vector Regression Via Correlation Regressor Chains Journal Article

Information Sciences, 415-416 , pp. 53-69, 2017.

Links | BibTeX | Tags: Multi-label Learning, Supervised Learning

Krawczyk, B; McInnes, B; Cano, A

Sentiment Classification from Multi-class Imbalanced Twitter Data Using Binarization Inproceedings

Proceedings of the 12th International Conference on Hybrid Artificial Intelligent Systems, pp. 26-37, 2017.

BibTeX | Tags: Classification, Supervised Learning

Triguero, I; González, S; Moyano, J M; García, S; Alcalá-Fdez, J; Luengo, J; Fernández, A; del Jesús, M J; Sánchez, L; Herrera, F

KEEL 3.0: an open source software for multi-stage analysis in data mining Journal Article

International Journal of Computational Intelligence Systems, 10 (1), pp. 1238-1249, 2017, ISSN: 1875-6883.

Links | BibTeX | Tags: Data Mining Software

Romero, C; Ventura, S

Educational data science in massive open online courses Journal Article

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY, 7 (1), pp. 1-12, 2017.

Links | BibTeX | Tags: Data Science, Educational Data Mining

Bogarín, A; Cerezo, R; Romero, C

A survey on educational process mining Journal Article

Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 2017.

Links | BibTeX | Tags: Educational Data Mining

Reyes, O; Morell, C; Ventura, S

Effective active learning strategy for multi-label learning Journal Article

Neurocomputing, In Press, 2017.

Links | BibTeX | Tags: Active Learning, Multi-label Learning

Barbudo, R; Ramírez, A; Romero, J R; Ventura, S

Descubrimiento de patrones de diseño basado en buenas prácticas: modelo y discusión Inproceedings

Actas de XXII Jornadas en Ingenier'ia del Software y Bases de Datos (JISBD'17), 2017.

Links | BibTeX | Tags: Evolutionary Algorithms, Grammar-Based Genetic Programming, Software Design & Development

García-Martínez, C; Gutiérrez, P D; Molina, D; Lozano, M; Herrera, F

Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness Journal Article

Soft Computing, 21 (19), pp. 5573–5583, 2017.

Links | BibTeX | Tags: Bioinspired algorithms; Evolutionary Algorithms, Genetic Algorithms; Metaheuristics

Cano, A; Ventura, S; Cios, K J

Multi-Objective Genetic Programming for Feature Extraction and Data Visualization Journal Article

Soft Computing, 21 (8), pp. 2069–2089, 2017.

Links | BibTeX | Tags: Classification, Genetic Programming

284 entries « 1 of 6 »