2022
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Luna, J M; Fardoun, H M; Padillo, F; Romero, C; Ventura, S Subgroup discovery in MOOCs: a big data application for describing different types of learners Journal Article Interactive Learning Environments, 30 (1), pp. 127–145, 2022. Links | BibTeX | Tags: Big Data, Big Data Mining, Data Science, Educational Data Mining, Educational Recommender Systems, Pattern Mining, Spark, Subgroup Discovery @article{luna2022subgroup,
title = {Subgroup discovery in MOOCs: a big data application for describing different types of learners},
author = {Luna, J. M. and Fardoun, H. M. and Padillo, F. and Romero, C. and Ventura, S.},
url = {https://www.tandfonline.com/doi/abs/10.1080/10494820.2019.1643742},
doi = {10.1080/10494820.2019.1643742},
year = {2022},
date = {2022-01-01},
journal = {Interactive Learning Environments},
volume = {30},
number = {1},
pages = {127--145},
publisher = {Taylor & Francis},
keywords = {Big Data, Big Data Mining, Data Science, Educational Data Mining, Educational Recommender Systems, Pattern Mining, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
2019
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Padillo, F; Luna, J M; Ventura, S A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data Journal Article Cognitive Computation, 11 , pp. 331-346, 2019. Links | BibTeX | Tags: Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark @article{Padillo2019331,
title = {A Grammar-Guided Genetic Programing Algorithm for Associative Classification in Big Data},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060144183&doi=10.1007%2fs12559-018-9617-2&partnerID=40&md5=c8e2a8aa35eb60951983f3b45e2c0391},
doi = {10.1007/s12559-018-9617-2},
year = {2019},
date = {2019-01-01},
journal = {Cognitive Computation},
volume = {11},
pages = {331-346},
keywords = {Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Gonzalez-Lopez, J; Ventura, S; Cano, A ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark Journal Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11538 LNCS , pp. 173-179, 2019. Links | BibTeX | Tags: Big Data, Multi-label Learning, Spark @article{Gonzalez-Lopez2019173,
title = {ARFF Data Source Library for Distributed Single/Multiple Instance, Single/Multiple Output Learning on Apache Spark},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067787447&doi=10.1007%2f978-3-030-22744-9_13&partnerID=40&md5=422268786d29fffb303135f987aff6bb},
doi = {10.1007/978-3-030-22744-9_13},
year = {2019},
date = {2019-01-01},
journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
volume = {11538 LNCS},
pages = {173-179},
keywords = {Big Data, Multi-label Learning, Spark},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Padillo, F; Ventura, S Associative classification in big data through a G3P approach Inproceedings IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security, pp. 94-102, 2019. Links | BibTeX | Tags: Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark @inproceedings{Luna201994,
title = {Associative classification in big data through a G3P approach},
author = {Luna, J. M. and Padillo, F. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067468328&partnerID=40&md5=f405c88f8efd5438e37f26b8482455e8},
year = {2019},
date = {2019-01-01},
booktitle = {IoTBDS 2019 - Proceedings of the 4th International Conference on Internet of Things, Big Data and Security},
pages = {94-102},
keywords = {Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Luna, J M; Fardoun, H M; Padillo, F; Romero, C; Ventura, S Subgroup discovery in MOOCs: a big data application for describing different types of learners Journal Article Interactive Learning Environments, pp. 1-13, 2019, ISBN: 17445191. Links | BibTeX | Tags: Big Data Mining, Educational Data Mining, Hadoop, Spark, Subgroup Discovery @article{Luna2019b,
title = {Subgroup discovery in MOOCs: a big data application for describing different types of learners},
author = {Luna, J. M. and Fardoun, H. M. and Padillo, F. and Romero, C. and Ventura, S.},
url = {https://www.tandfonline.com/doi/abs/10.1080/10494820.2019.1643742},
doi = {10.1080/10494820.2019.1643742},
isbn = {17445191},
year = {2019},
date = {2019-01-01},
journal = {Interactive Learning Environments},
pages = {1-13},
keywords = {Big Data Mining, Educational Data Mining, Hadoop, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
2018
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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 @article{LunaPPV18,
title = {Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data},
author = {Luna, J. M. and Padillo, F. and Pechenizkiy M. and Ventura, S.},
url = {https://doi.org/10.1109/TCYB.2017.2751081},
doi = {10.1109/TCYB.2017.2751081},
year = {2018},
date = {2018-01-01},
journal = {IEEE Trans. Cybernetics},
volume = {48},
number = {10},
pages = {2851--2865},
keywords = {Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Scalability, Spark},
pubstate = {published},
tppubtype = {article}
}
|
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 @article{PadilloLHV18,
title = {Mining association rules on Big Data through MapReduce genetic programming},
author = {Padillo, F. and Luna, J. M. and Herrera F. and Ventura, S.},
url = {https://doi.org/10.3233/ICA-170555},
doi = {10.3233/ICA-170555},
year = {2018},
date = {2018-01-01},
journal = {Integrated Computer-Aided Engineering},
volume = {25},
number = {1},
pages = {31--48},
keywords = {Association Rule Mining, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark},
pubstate = {published},
tppubtype = {article}
}
|
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 @article{2018-FGCS-MLKNN,
title = {Distributed Nearest Neighbor Classification for Large-Scale Multi-label Data on Spark},
author = {Gonzalez-Lopez, J. and Ventura, S. and Cano, A.},
url = {http://dx.doi.org/10.1016/j.future.2018.04.094},
doi = {10.1016/j.future.2018.04.094},
year = {2018},
date = {2018-01-01},
journal = {Future Generation Computer Systems},
volume = {87},
pages = {66-82},
keywords = {Classification, Multi-label Learning, Spark},
pubstate = {published},
tppubtype = {article}
}
|
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 @inproceedings{Perez2018,
title = {JCLAL 2.0: mejoras y nuevas funcionalidades en la herramienta Java de c\'{o}digo abierto para el aprendizaje activo},
author = {P'{e}rez, E. and Gonz\'{a}lez, L. D. and S\'{a}nchez, L. M. and Reyes, O. and Ventura, S.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_TAMIDA6.pdf},
year = {2018},
date = {2018-01-01},
booktitle = {XVIII Conferencia de la Asociaci\'{o}n Espa\~{n}ola para la Inteligencia Artificial (CAEPIA)},
address = {Granada, Spain},
keywords = {Active Learning, Scalability, Software Design and Development, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2017
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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 @inproceedings{PadilloLV17,
title = {An evolutionary algorithm for mining rare association rules: A Big Data approach},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {https://doi.org/10.1109/CEC.2017.7969547},
doi = {10.1109/CEC.2017.7969547},
year = {2017},
date = {2017-01-01},
booktitle = {2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebasti\'{a}n, Spain, June 5-8, 2017},
pages = {2007--2014},
keywords = {Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Spark, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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 @article{PadilloLV17b,
title = {Exhaustive search algorithms to mine subgroups on Big Data using Apache Spark},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
doi = {10.1007/s13748-017-0112-x},
year = {2017},
date = {2017-01-01},
journal = {Progress in Artificial Intelligence},
volume = {6},
number = {2},
pages = {145--158},
keywords = {Big Data Mining, Hadoop, Pattern Mining, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {article}
}
|
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 @article{LunaIEEE17b,
title = {Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data},
author = {Luna, J. M. and Padillo, F. and Pechenizkiy, M. and Ventura, S.},
doi = {10.1109/TCYB.2017.2751081},
year = {2017},
date = {2017-01-01},
journal = {IEEE Transactions on Cybernetics},
volume = {99},
number = {PP},
pages = {1-15},
keywords = {Association Rule Mining, Big Data Mining, Hadoop, Pattern Mining, Spark, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
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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 @inproceedings{2017-IEEEBIGDATA,
title = {Large-scale multi-label ensemble learning on Spark},
author = {Gonzalez-Lopez, J. and Cano, A. and Ventura, S.},
year = {2017},
date = {2017-01-01},
booktitle = {Proceedings of the 11th IEEE International Conference On Big Data Science And Engineering},
pages = {893-900},
keywords = {Multi-label Learning, Scalability, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|
2016
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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 @inproceedings{Padillo:BigDataSE16:16,
title = {Subgroup discovery on Big Data: exhaustive methodologies using Map-Reduce},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
url = {http://dx.doi.org/10.1109/TrustCom/BigDataSE/ISPA.2016.256},
doi = {10.1109/TrustCom/BigDataSE/ISPA.2016.256},
year = {2016},
date = {2016-08-01},
booktitle = {Proceedings of the 2016 IEEE Trustcom/BigDataSE/ISPA},
pages = {1684--1691},
address = {Tianjin, China},
keywords = {Big Data Mining, Pattern Mining, Scalability, Spark, Subgroup Discovery},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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 @inproceedings{Padillo:MAEB16:16,
title = {Algoritmo de programaci\'{o}n gen'{e}tica gramatical para la extracci\'{o}n de reglas de asociaci\'{o}n en Big Data usando el paradigma MapReduce},
author = {Padillo, F. and Luna, J. M. and Ventura, S. and Herrera, F.},
isbn = {978-84-9012-632-5},
year = {2016},
date = {2016-01-01},
booktitle = {XI Congreso Espa\~{n}ol sobre Metaheur\^{i}sticas, Algoritmos Evolutivos y Bioinspirados (MAEB'16)},
pages = {137-148},
keywords = {Association Rule Mining, Big Data Mining, Evolutionary Algorithms, Grammar-Based Genetic Programming, Hadoop, Pattern Mining, Scalability, Spark, Unsupervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
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 @inproceedings{Padillo:TAMIDA16_SD:16,
title = {B\'{u}squedas exhaustivas de subgrupos con MapReduce en Big Data},
author = {Padillo, F. and Luna, J. M. and Ventura, S.},
isbn = {978-84-9012-632-5},
year = {2016},
date = {2016-01-01},
booktitle = {VIII Simposio Teor\^{i}a y Aplicaciones de Miner\^{i}a de Datos (TAMIDA'16)},
pages = {779-788},
keywords = {Big Data Mining, Pattern Mining, Scalability, Spark},
pubstate = {published},
tppubtype = {inproceedings}
}
|