257 entries « 1 of 6 »

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

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

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, In Press , 2017.

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, In Press , 2017.

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

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

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

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

MLDA: A tool for analyzing multi-label datasets Journal Article

Knowledge-Based Systems, 121 , pp. 1-3, 2017, ISSN: 0950-7051.

Links | BibTeX | Tags: Data Mining Software, Data Preprocessing, Multi-label Learning, Multi-view Learning

2016

Lozano, M; Laguna, M; Martí, R; Rodríguez, F J; García-Martínez, C

A genetic algorithm for the minimum generating set problem Journal Article

Applied Soft Computing, 48 , pp. 254–264, 2016, ISSN: 15684946.

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

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

Lozano, M; Rodriguez, F J; Peralta, D; García-Martínez, C

Randomized greedy multi-start algorithm for the minimum common integer partition problem Journal Article

Engineering Applications of Artificial Intelligence, 50 , pp. 226–235, 2016, ISSN: 09521976.

Abstract | Links | BibTeX | Tags: Metaheuristics

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

Ramírez, A; Romero, J R; Ventura, S

A comparative study of many-objective evolutionary algorithms for the discovery of software architectures Journal Article

Empirical Software Engineering, 21 , pp. 2546–2600, 2016, ISSN: 1573-7616.

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

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

Memetic Algorithms for the Automatic Discovery of Software Architectures Inproceedings

16th International Conference on Intelligent Systems Design and Applications (ISDA'16), 2016.

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

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

Estudio de mecanismos de hibridación para el descubrimiento evolutivo de arquitecturas Inproceedings

XXI Jornadas en Ingeniería del Software y Bases de Datos (JISBD'16), pp. 481-494, 2016, ISBN: 978-84-9012-627-1.

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

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

Configuración guiada por búsqueda de aplicaciones basadas en microservicios en la nube Inproceedings

XXI Jornadas en Ingeniería del Software y Bases de Datos (JISBD'16), pp. 499-502, 2016, ISBN: 978-84-9012-627-1.

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

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

Herramienta basada en computación evolutiva interactiva para arquitectos software Inproceedings

XI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 387-396, 2016, ISBN: 978-84-9012-632-5.

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

Reyes, O; Morell, C; Ventura, S

Effective lazy learning algorithm based on a data gravitation model for multi-label learning Journal Article

Information Sciences, 340 (341), pp. 159-174, 2016.

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

Reyes, O; Pérez, E; del Carmen Rodríguez-Hernández, M; Mousa Fardoun, H; Ventura, S

JCLAL: a Java framework for active learning Journal Article

Journal of Machine Learning Research, 17 (95), pp. 1-5, 2016.

Links | BibTeX | Tags: Active Learning, Software Design & Development

Reyes, O; Ventura, S

Estrategia efectiva para el aprendizaje activo multi-etiqueta Inproceedings

XVII Conferencia de la Asociación Española para la Inteligencia Artificial, pp. 835-844, 2016.

BibTeX | Tags: Active Learning, Multi-label Learning

Romero, C; Cerezo, R; Bogarín, A; Sánchez-Santillán, M

Educational process mining: A tutorial and case study using moodle data sets Incollection

pp. 1-28, 2016.

Links | BibTeX | Tags:

Romero, C; Cerezo, R; Espino, J A; Bermudez, M

Using Android Wear for Avoiding Procrastination Behaviours in MOOCs Inproceedings

Proceedings of the Third ACM Conference on Learning @ Scale, L@S 2016, Edinburgh, Scotland, UK, April 25 - 26, 2016, pp. 193–196, 2016.

Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems

Salado-Cid, R; Romero, J R

Enabling the definition and reuse of multi-domain workflow-based data analysis Inproceedings

16th International Conference on Intelligent Systems Design and Applications (ISDA'16), 2016.

BibTeX | Tags: Data Science, Scientific workflows

Salado-Cid, R; Romero, J R

Lenguaje específico para el modelado de flujos de trabajo aplicados a ciencia de datos Inproceedings

XXI Jornadas en Ingeniería del Software y Bases de Datos (JISBD'16), pp. 227-240, 2016, ISBN: 978-84-9012-627-1.

Links | BibTeX | Tags: Data Science, Scientific workflows

Ventura, S; Luna, J M

Pattern Mining with Evolutionary Algorithms Book

Springer, 2016, ISBN: 978-3-319-33857-6.

Links | BibTeX | Tags: Ant Programming, Association Rule Mining, Bioinspired algorithms, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming, Multi-objective Optimization, Pattern Mining, Subgroup Discovery, 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

Zapata, A; Menéndez, V H; Romero, C; Prieto, M E

Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs Inproceedings

Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016, pp. 656–657, 2016.

Links | BibTeX | Tags: Educational Data Mining, Educational Recommender Systems

Cano, A; García-Martínez, C

Optimización con 100 millones de variables reales sobre múltiples unidades de procesamiento gráfico Inproceedings

Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16), pp. 377–386, 2016.

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

257 entries « 1 of 6 »