301 entries « 2 of 7 »

2017

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 and 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

Olex, A; McInnes, B; Cano, A

Parsing MetaMap Files in Hadoop Inproceedings

American Medical Informatics Association Symposium, 2017.

BibTeX | Tags: Hadoop

Luque, R M; Gahete, M D; Castaño, J P; Requena-Tapia, M J; Carrasco-Valiente, J; González, T; Moreno, M M; Reyes, O; Herrero-Aguayo, V; Gómez-Gómez, E; others,

The Splicing Machinery is Profoundly Deregulated in Prostate Cancer: Pathological and Clinical Implications. Inproceedings

8th IMIBIC young Investigators workshop, Córdoba, Spain, 2017.

BibTeX | Tags: Medical Data Mining

Gahete, M D; Luque, R M; Castaño, J P; de la Mata, M; Kineman, R D; Ventura, S; Rodríguez-Perálvarez, M; Reyes, O; Ferrín, G; González-Rubio, S

Hepatic Steatosis in Obese Women is Associated with Alterations in Splicing Machinery Components Inproceedings

8th IMIBIC young Investigators workshop; Córdoba, Spain, 2017.

BibTeX | Tags: Medical Data Mining

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 and 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 and 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

Lozano, M; García-Martínez, C; Rodríguez, F J; Trujillo, H M

Optimizing Network Attacks by Artificial Bee Colony Journal Article

Information Sciences, 377 , pp. 30–50, 2016, ISSN: 00200255.

Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics

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

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

LAIM discretization for multi-label data Journal Article

Information Sciences, 330 , pp. 370–384, 2016.

Links | BibTeX | Tags: Multi-label Learning

Cano, A; Nguyen, D T; Ventura, S; Cios, K J

ur-CAIM: improved CAIM discretization for unbalanced and balanced data Journal Article

Soft Computing, 20 (1), pp. 173-188, 2016.

Links | BibTeX | Tags: Classification, Supervised Learning

Cano, A; García-Martínez, C

100 Million Dimensions Large-Scale Global Optimization Using Distributed GPU Computing Inproceedings

Proceedings of the IEEE World Congress on Computational Intelligence, pp. 3566-3573, Vancouver, Canada, 2016.

BibTeX | Tags: GP-GPU, Scalability

Márquez-Vera, C; Cano, A; Romero, C; Noaman, A Y; Mousa Fardoun, H; Ventura, S

Early dropout prediction using data mining: a case study with high school students Journal Article

Expert Systems, 33 (1), pp. 107–124, 2016.

Links | BibTeX | Tags: Educational Data Mining, Predicting Student Performance

Delgado-Osuna, J A; Lozano, M; García-Martínez, C

An alternative artificial bee colony algorithm with destructive–constructive neighbourhood operator for the problem of composing medical crews Journal Article

Information Sciences, 326 , pp. 215–226, 2016, ISSN: 00200255.

Links | BibTeX | Tags: Bioinspired algorithms, Metaheuristics

Fuentes-Alventosa, J; Romero, C; García-Martínez, C; Ventura, S

Predicción de la aceptación o rechazo de las calificaciones finales propuestas por el alumnado usando técnicas de Minería de Datos Inproceedings

Actas de las XXII Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2016), pp. 201–208, 2016, ISBN: 9788416642304.

Links | BibTeX | Tags: Classification, Educational Data Mining, Predicting Student Performance, Supervised Learning

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

An ensemble-based approach for multi-view multi-label classification Journal Article

Progress in Artificial Intelligence, 5 (4), pp. 251–259, 2016, ISSN: 2192-6360.

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

301 entries « 2 of 7 »

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