2022
|
Al-Twijri, M; Luna, J M; Herrera, F; Ventura, S Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns Journal Article Cognitive Computation, pp. 1-22, 2022. Links | BibTeX | Tags: Bioinspired Algorithms, Data Science, Educational Data Mining, Educational Recommender Systems, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Pattern Mining @article{AlTwijri2022,
title = {Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns},
author = {Al-Twijri, M. and Luna, J. M. and Herrera, F. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12559-022-10015-5},
year = {2022},
date = {2022-01-01},
journal = {Cognitive Computation},
pages = {1-22},
publisher = {Springer US},
keywords = {Bioinspired Algorithms, Data Science, Educational Data Mining, Educational Recommender Systems, Evolutionary Algorithms, Genetic Algorithms, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Trasierras, A M; Luna, J M; Ventura, S Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach Journal Article International Journal of Intelligent Systems, 37 (4), pp. 2822-2848, 2022. Links | BibTeX | Tags: Cancer, Clinical Data Mining, Data Science, Medical Data Mining, Pattern Mining @article{Trasierras2022,
title = {Improving the understanding of cancer in a descriptive way: An emerging pattern mining‐based approach},
author = {Trasierras, A. M. and Luna, J. M. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/full/10.1002/int.22503},
year = {2022},
date = {2022-01-01},
journal = {International Journal of Intelligent Systems},
volume = {37},
number = {4},
pages = {2822-2848},
keywords = {Cancer, Clinical Data Mining, Data Science, Medical Data Mining, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Esteban, A; Zafra, A; Ventura, S Data mining in predictive maintenance systems: A taxonomy and systematic review Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, pp. e1471, 2022. Links | BibTeX | Tags: Anomaly Detection, Data Science, Feature Selection, Predictive Maintenance, Supervised Learning, Unsupervised Learning @article{esteban2022data,
title = {Data mining in predictive maintenance systems: A taxonomy and systematic review},
author = {Esteban, A. and Zafra, A. and Ventura, S.},
url = {https://wires.onlinelibrary.wiley.com/doi/10.1002/widm.1471},
doi = {10.1002/widm.1471},
year = {2022},
date = {2022-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
pages = {e1471},
publisher = {Wiley Online Library},
keywords = {Anomaly Detection, Data Science, Feature Selection, Predictive Maintenance, Supervised Learning, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
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}
}
|
Chango, W; Lara, J; Cerezo, R; Romero, C A review on data fusion in multimodal learning analytics and educational data mining Journal Article pp. e1458, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Chango2022,
title = {A review on data fusion in multimodal learning analytics and educational data mining},
author = {Chango, W. and Lara, J. and Cerezo, R. and Romero, C.},
url = {https://wires.onlinelibrary.wiley.com/doi/abs/10.1002/widm.1458},
year = {2022},
date = {2022-01-01},
pages = {e1458},
publisher = {Wiley Periodicals, Inc},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
López-Zambrano, J; Lara, J; Romero, C Improving the portability of predicting students’ performance models by using ontologies Journal Article Journal of Computing in Higher Education, 34 (1), pp. 1-19, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining, Supervised Learning @article{LopezZambrano2022,
title = {Improving the portability of predicting students’ performance models by using ontologies},
author = {L\'{o}pez-Zambrano, J. and Lara, J. and Romero, C.},
url = {https://link.springer.com/article/10.1007/s12528-021-09273-3},
year = {2022},
date = {2022-01-01},
journal = {Journal of Computing in Higher Education},
volume = {34},
number = {1},
pages = {1-19},
publisher = {Springer US},
keywords = {Data Science, Educational Data Mining, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Pedraza-Arevalo, S; Alors-Pérez, E; Blazquez-Encinas, R; Herrera-Martinez, A; Jimenez-Vacas, J; Fuentes-Fayos, A; Reyes, O; Ventura, S; Sanchez-Sanchez, R; Ortega-Salas, R; Serrano-Blanch, R; Galvez-Moreno, M; Gahete, M; Ibanez-Costa, A; Luque, R; Castano, J Spliceosomic dysregulation unveils NOVA1 as an actionable therapeutic target in pancreatic neuroendocrine tumors Journal Article bioRxiv, 2022. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{Pedraza2022,
title = {Spliceosomic dysregulation unveils NOVA1 as an actionable therapeutic target in pancreatic neuroendocrine tumors},
author = {Pedraza-Arevalo, S. and Alors-P'{e}rez, E. and Blazquez-Encinas, R. and Herrera-Martinez, A. and Jimenez-Vacas, J. and Fuentes-Fayos, A. and Reyes, O. and Ventura, S. and Sanchez-Sanchez, R. and Ortega-Salas, R. and Serrano-Blanch, R. and Galvez-Moreno, M. and Gahete, M. and Ibanez-Costa, A. and Luque, R. and Castano, J.},
url = {https://www.biorxiv.org/content/10.1101/2022.02.09.479525v1.abstract},
year = {2022},
date = {2022-01-01},
journal = {bioRxiv},
publisher = {Cold Spring Harbor Laboratory},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Bowen-Mendoza, L; Pinargote-Ortega, M; Meza, J; Ventura, S Design of peer assessment rubrics for ICT topics Journal Article Journal of Computing in Higher Education, 34 (1), pp. 211-241, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Bowen2022,
title = {Design of peer assessment rubrics for ICT topics},
author = {Bowen-Mendoza, L. and Pinargote-Ortega, M. and Meza, J. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12528-021-09297-9},
year = {2022},
date = {2022-01-01},
journal = {Journal of Computing in Higher Education},
volume = {34},
number = {1},
pages = {211-241},
publisher = {Springer US},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Maqsood, R; Ceravolo, P; Romero, C; Ventura, S Modeling and predicting students’ engagement behaviors using mixture Markov models Journal Article Knowledge and Information Systems, pp. 1-36, 2022. Links | BibTeX | Tags: Data Science, Educational Data Mining, Educational Recommender Systems, Supervised Learning @article{Maqsood2022,
title = {Modeling and predicting students’ engagement behaviors using mixture Markov models},
author = {Maqsood, R. and Ceravolo, P. and Romero, C. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s10115-022-01674-9},
year = {2022},
date = {2022-01-01},
journal = {Knowledge and Information Systems},
pages = {1-36},
publisher = {Springer London},
keywords = {Data Science, Educational Data Mining, Educational Recommender Systems, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Belmonte, A; Zafra, A; Gibaja, E MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning Journal Article Neurocomputing, 2022. Links | BibTeX | Tags: Data Science, Library, Multi-instance Learning, Multi-label Learning, Software, Supervised Learning @article{belmonte2022miml,
title = {MIML library: a Modular and Flexible Library for Multi-instance Multi-label Learning},
author = {Belmonte, A. and Zafra, A. and Gibaja, E.},
url = {https://www.sciencedirect.com/science/article/pii/S0925231222006518},
doi = {10.1016/j.neucom.2022.05.068},
year = {2022},
date = {2022-01-01},
journal = {Neurocomputing},
publisher = {Elsevier},
keywords = {Data Science, Library, Multi-instance Learning, Multi-label Learning, Software, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Ventura, S An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis Journal Article Neural Computing and Applications, 34 (13), pp. 10429–10448, 2022. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2022ensemble,
title = {An ensemble-based convolutional neural network model powered by a genetic algorithm for melanoma diagnosis},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s00521-021-06655-7},
year = {2022},
date = {2022-01-01},
journal = {Neural Computing and Applications},
volume = {34},
number = {13},
pages = {10429--10448},
publisher = {Springer},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Evolutionary Algorithms, Genetic Algorithms, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
Moyano, J M; Luna, J M; Ventura, S Reducing the label space a predefined ratio for a more efficient multi-label classification Journal Article IEEE Access, 10 , pp. 76480-76492, 2022, ISSN: 2169-3536. Links | BibTeX | Tags: Classification, Data Science, Multi-label Learning, Supervised Learning @article{Moyano:2022b_IEEEAccess,
title = {Reducing the label space a predefined ratio for a more efficient multi-label classification},
author = {Moyano, J. M. and Luna, J. M. and Ventura, S.},
url = {https://ieeexplore.ieee.org/document/9833489},
doi = {10.1109/ACCESS.2022.3192642},
issn = {2169-3536},
year = {2022},
date = {2022-01-01},
journal = {IEEE Access},
volume = {10},
pages = {76480-76492},
keywords = {Classification, Data Science, Multi-label Learning, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
2021
|
Barbudo, R; Ventura, S; Romero, J R Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence Inproceedings International Conference on Soft Computing and Pattern Recognition, pp. 647–656, Springer 2021. Links | BibTeX | Tags: Classification, Data Science, Evolutionary Algorithms, Grammar-Based Genetic Programming, Scientific workflows @inproceedings{barbudo2021grammar,
title = {Grammar-Based Evolutionary Approach for Automatic Workflow Composition with Open Preprocessing Sequence},
author = {Barbudo, R. and Ventura, S. and Romero, J. R.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-96302-6_61},
year = {2021},
date = {2021-01-01},
booktitle = {International Conference on Soft Computing and Pattern Recognition},
pages = {647--656},
organization = {Springer},
keywords = {Classification, Data Science, Evolutionary Algorithms, Grammar-Based Genetic Programming, Scientific workflows},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Fournier-Viger, P; Yang, P; Kiran, R U; Ventura, S; Luna, J M Mining local periodic patterns in a discrete sequence Journal Article Information Sciences, 544 , pp. 519–548, 2021. Links | BibTeX | Tags: Data Science, Pattern Mining @article{fournier2021mining,
title = {Mining local periodic patterns in a discrete sequence},
author = {Fournier-Viger, P. and Yang, P. and Kiran, R. U. and Ventura, S. and Luna, J. M.},
url = {https://www.sciencedirect.com/science/article/pii/S0020025520309567},
doi = {10.1016/j.ins.2020.09.044},
year = {2021},
date = {2021-01-01},
journal = {Information Sciences},
volume = {544},
pages = {519--548},
publisher = {Elsevier},
keywords = {Data Science, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Lopez, J; Lara, J; Romero, C Early prediction of student learning performance through data mining: A systematic review Journal Article Psicothema, 2021. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{lopez2021early,
title = {Early prediction of student learning performance through data mining: A systematic review},
author = {Lopez, J. and Lara, J. and Romero, C.},
url = {http://doi.org/10.7334/psicothema2021.62},
doi = {10.7334/psicothema2021.62},
year = {2021},
date = {2021-01-01},
journal = {Psicothema},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Rodriguez-Gonzalez, A; Ventura, S; Soda, P; Fernandez-Breis, J Introduction to the special issue on Methods and applications in the analysis of social data in healthcare Journal Article 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{rodriguez2021introduction,
title = {Introduction to the special issue on Methods and applications in the analysis of social data in healthcare},
author = {Rodriguez-Gonzalez, A. and Ventura, S. and Soda, P. and Fernandez-Breis, J.},
url = {http://doi.org/10.1016/j.ipm.2020.102427},
doi = {10.1016/j.ipm.2020.102427},
year = {2021},
date = {2021-01-01},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Cachi, P; Ventura, S; Cios, K J CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks Journal Article Frontiers in computational neuroscience, 15 , pp. 627567, 2021. Links | BibTeX | Tags: Classification, Data Science, Supervised Learning @article{cachi2021crba,
title = {CRBA: A Competitive Rate-Based Algorithm Based on Competitive Spiking Neural Networks},
author = {Cachi, P. and Ventura, S. and Cios, K. J.},
url = {https://www.frontiersin.org/articles/10.3389/fncom.2021.627567/full},
doi = {10.3389/fncom.2021.627567},
year = {2021},
date = {2021-01-01},
journal = {Frontiers in computational neuroscience},
volume = {15},
pages = {627567},
publisher = {Frontiers Media SA url=https://www.frontiersin.org/articles/10.3389/fncom.2021.627567},
keywords = {Classification, Data Science, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Alors Perez, E; Blázquez-Encinas, R; Mafficini, A; Moreno Montilla, T; Viyuela-Garcia, C; Jiménez-Vacas, J M; Sánchez-Hidalgo, J M; Berbel, I; Marín-Sanz, J A; Sánchez-Fría, M E; Luchini, C; Pea, A; Ventura, S; Gahete, M D; Arjona-Sánchez, A; Lawlor, R T; Luque, R M; Scarpa, A; Ibáñez-Costa, A; Castaño, J P Splicing machinery dysregulation and its relationship with PDAC aggressiveness Journal Article Pancreatology, 21 , pp. S45, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{perez2021splicing,
title = {Splicing machinery dysregulation and its relationship with PDAC aggressiveness},
author = {Alors Perez, E. and Bl\'{a}zquez-Encinas, R. and Mafficini, A. and Moreno Montilla, T. and Viyuela-Garcia, C. and Jim'{e}nez-Vacas, J.M. and S\'{a}nchez-Hidalgo, J.M. and Berbel, I. and Mar\^{i}n-Sanz, J.A. and S\'{a}nchez-Fr\^{i}a, M.E. and Luchini, C. and Pea, A. and Ventura, S. and Gahete, M.D. and Arjona-S\'{a}nchez, A. and Lawlor, R.T. and Luque, R.M. and Scarpa, A. and Ib\'{a}\~{n}ez-Costa, A. and Casta\~{n}o, J.P.},
url = {https://www.sciencedirect.com/science/article/pii/S142439032100274X},
doi = {https://doi.org/10.1016/j.pan.2021.05.123},
year = {2021},
date = {2021-01-01},
journal = {Pancreatology},
volume = {21},
pages = {S45},
publisher = {Elsevier},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Blazquez-Encinas, R; Alors-Pérez, E; Mafficini, A; Moreno-Montilla, T; Viyuela-García, C; Abollo-Jiménez, F; Sánchez-Hidalgo, J M; Sánchez-Frías, M E; García-Vioque, V; Luchini, C; Pea, A; Ventura, S; Gahete, M D; Arjona, A; Lawlor, R T; Luque, R M; Scarpa, A; Ibáñez-Costa, A; Castaño, J P A functional role for splicing factor EIF4A3 dysregulation in pancreatic ductal adenocarcinoma Journal Article Pancreatology, 21 , pp. S75, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{blazquez2021functional,
title = {A functional role for splicing factor EIF4A3 dysregulation in pancreatic ductal adenocarcinoma},
author = {Blazquez-Encinas, R. and Alors-P'{e}rez, E. and Mafficini, A. and Moreno-Montilla, T. and Viyuela-Garc\^{i}a, C. and Abollo-Jim'{e}nez, F. and S\'{a}nchez-Hidalgo, J.M. and S\'{a}nchez-Fr\^{i}as, M.E. and Garc\^{i}a-Vioque, V. and Luchini, C. and Pea, A. and Ventura, S. and Gahete, M.D. and Arjona, A. and Lawlor, R.T. and Luque, R.M. and Scarpa, A. and Ib\'{a}\~{n}ez-Costa, A. and Casta\~{n}o, J.P.},
url = {https://www.sciencedirect.com/science/article/pii/S1424390321003513},
doi = {https://doi.org/10.1016/j.pan.2021.05.200},
year = {2021},
date = {2021-01-01},
journal = {Pancreatology},
volume = {21},
pages = {S75},
publisher = {Elsevier},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Alors-Perez, E; Blazquez-Encinas, R; Alcala, S; Viyuela-Garcia, C; Pedraza-Arevalo, S; Herrero-Aguayo, V; Jimenez-Vacas, J; Mafficini, A; Sanchez-Frias, M; Cano, M Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug Journal Article Journal of Experimental & Clinical Cancer Research, 40 (1), pp. 1–21, 2021. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{alors2021dysregulated,
title = {Dysregulated splicing factor SF3B1 unveils a dual therapeutic vulnerability to target pancreatic cancer cells and cancer stem cells with an anti-splicing drug},
author = {Alors-Perez, E. and Blazquez-Encinas, R. and Alcala, S. and Viyuela-Garcia, C. and Pedraza-Arevalo, S. and Herrero-Aguayo, V. and Jimenez-Vacas, J. and Mafficini, A. and Sanchez-Frias, M. and Cano, M.},
url = {https://jeccr.biomedcentral.com/articles/10.1186/s13046-021-02153-9},
doi = {10.1186/s13046-021-02153-9},
year = {2021},
date = {2021-01-01},
journal = {Journal of Experimental & Clinical Cancer Research},
volume = {40},
number = {1},
pages = {1--21},
publisher = {BioMed Central},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Chango, W; Cerezo, R; Sanchez-Santillan, M; Azevedo, R; Romero, C Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources Journal Article Journal of Computing in Higher Education, 33 (3), pp. 614–634, 2021. Links | BibTeX | Tags: Classification, Data Science, Educational Data Mining, Supervised Learning @article{chango2021improving,
title = {Improving prediction of students’ performance in intelligent tutoring systems using attribute selection and ensembles of different multimodal data sources},
author = {Chango, W. and Cerezo, R. and Sanchez-Santillan, M. and Azevedo, R. and Romero, C.},
url = {https://link.springer.com/article/10.1007/s12528-021-09298-8},
year = {2021},
date = {2021-01-01},
journal = {Journal of Computing in Higher Education},
volume = {33},
number = {3},
pages = {614--634},
publisher = {Springer},
keywords = {Classification, Data Science, Educational Data Mining, Supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Pinargote-Ortega, M; Bowen-Mendoza, L; Meza, J; Ventura, S Peer assessment using soft computing techniques Journal Article Journal of Computing in Higher Education, 33 (3), pp. 684–726, 2021. Links | BibTeX | Tags: Data Science @article{pinargote2021peer,
title = {Peer assessment using soft computing techniques},
author = {Pinargote-Ortega, M. and Bowen-Mendoza, L. and Meza, J. and Ventura, S.},
url = {https://link.springer.com/article/10.1007/s12528-021-09296-w},
year = {2021},
date = {2021-01-01},
journal = {Journal of Computing in Higher Education},
volume = {33},
number = {3},
pages = {684--726},
publisher = {Springer},
keywords = {Data Science},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Ventura, S Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules Journal Article Cancers, 13 (19), pp. 4974, 2021. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue @article{perez2021melanoma,
title = {Melanoma Recognition by Fusing Convolutional Blocks and Dynamic Routing between Capsules},
author = {P'{e}rez, E. and Ventura, S.},
url = {https://www.mdpi.com/2072-6694/13/19/4974},
doi = {10.3390/cancers13194974},
year = {2021},
date = {2021-01-01},
journal = {Cancers},
volume = {13},
number = {19},
pages = {4974},
publisher = {MDPI},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis, Special Issue},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
Cerezo, R; Bogarín, A; Esteban, M; Romero, C Process mining for self-regulated learning assessment in e-learning Journal Article Journal of Computing in Higher Education, 32 (1), pp. 74–88, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Cerezo2019,
title = {Process mining for self-regulated learning assessment in e-learning},
author = {Cerezo, R. and Bogar\^{i}n, A. and Esteban, M. and Romero, C.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065723072&doi=10.1007%2fs12528-019-09225-y&partnerID=40&md5=41a84fb041b9ccda8a0652b5732d811b},
doi = {10.1007/s12528-019-09225-y},
year = {2020},
date = {2020-01-01},
journal = {Journal of Computing in Higher Education},
volume = {32},
number = {1},
pages = {74--88},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Romero, C; Ventura, S Educational data mining and learning analytics: An updated survey Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, pp. e1355, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining, Educational Recommender Systems, Predicting Student Performance @article{romero2020educational,
title = {Educational data mining and learning analytics: An updated survey},
author = {Romero, C. and Ventura, S.},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/widm.1355},
doi = {10.1002/widm.1355},
year = {2020},
date = {2020-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
pages = {e1355},
keywords = {Data Science, Educational Data Mining, Educational Recommender Systems, Predicting Student Performance},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Pechenizkiy, M; Duivesteijn, W; Ventura, S Exceptional in so Many Ways—Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios Journal Article IEEE Access, 8 , pp. 200982-200994, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining @article{Luna2020b,
title = {Exceptional in so Many Ways{\textemdash}Discovering Descriptors That Display Exceptional Behavior on Contrasting Scenarios},
author = {Luna, J. M. and Pechenizkiy, M. and Duivesteijn, W. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9245545/},
year = {2020},
date = {2020-01-01},
journal = {IEEE Access},
volume = {8},
pages = {200982-200994},
publisher = {IEEE},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Luna, J M; Fournier-Viger, P; Ventura, S Extracting user-centric knowledge on two different spaces: Concepts and records Journal Article IEEE Access, 8 , pp. 134782-134799, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining @article{Luna2020,
title = {Extracting user-centric knowledge on two different spaces: Concepts and records},
author = {Luna, J. M. and Fournier-Viger, P. and Ventura, S.},
url = {https://ieeexplore.ieee.org/abstract/document/9145755/},
year = {2020},
date = {2020-01-01},
journal = {IEEE Access},
volume = {8},
pages = {134782-134799},
publisher = {IEEE},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Grammar-Based Genetic Programming, Metaheuristics, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
Fournier-Viger, P; Wang, Y; Chun-Wei Lin, J; Luna, J M; Ventura, S Mining cross-level high utility itemsets Inproceedings pp. 858-871, Springer, Cham, 2020. Links | BibTeX | Tags: Data Science, Pattern Mining @inproceedings{Fournier2020,
title = {Mining cross-level high utility itemsets},
author = {Fournier-Viger, P. and Wang, Y. and Chun-Wei Lin, J. and Luna, J. M. and Ventura, S.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-55789-8_73},
year = {2020},
date = {2020-01-01},
pages = {858-871},
publisher = {Springer, Cham},
keywords = {Data Science, Pattern Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Verdecia-Cabrera, A; Frías-Blanco, I; Quintero-Domínguez, L; Rodríguez Sarabia, Y Aprendiendo con meta-clasificadores a partir de flujos de datos no estacionarios Journal Article Revista Cubana de Ciencias Informáticas, 14 (4), pp. 20-33, 2020. BibTeX | Tags: Data Science, Other, Semi-supervised Learning @article{Verdecia2020,
title = {Aprendiendo con meta-clasificadores a partir de flujos de datos no estacionarios},
author = {Verdecia-Cabrera, A. and Fr\^{i}as-Blanco, I. and Quintero-Dom\^{i}nguez, L. and Rodr\^{i}guez Sarabia, Y.},
year = {2020},
date = {2020-01-01},
journal = {Revista Cubana de Ciencias Inform\'{a}ticas},
volume = {14},
number = {4},
pages = {20-33},
keywords = {Data Science, Other, Semi-supervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Carlos, Xabier De; Sagardui, Goiuria; Trujillo, Salvador; Perkaz, Alain; Cañizo, Mikel; Iglesias, Aitziber; Salazar-Álvarez, Juan-Pablo; Gómez-Martínez, Elena; de Miguel, Miguel; Salado-Cid, R; Romero, J R; Cuevas, César; Martínez, Patricia López; Drake, Jose M; de Vega, Alfonso La; García-Saiz, Diego; Zorrilla, Marta; Sanchez, Pablo; Boubeta-Puig, Juan; Hernández, Juan; Moguel, Enrique; Preciado, Juan Carlos; Sánchez-Figueroa, Fernando; Troya, Javier; Segura, Sergio; Ruiz-Cortés, Antonio; Vara, Juan M; Castro, Valeria De; Granada, David; Marcos, Esperanza; Cuadrado, Jesús Sánchez; Guerra, Esther; Lara, Juan De; Gómez-Llana, Abel; Meseguer, José; Bruneliere, Hugo; Cabot, Jordi; Izquierdo, Javier Luis Cánovas; Arrieta, Leire Orue-Echevarria; Strauss, Oliver Desarrollo de Software Dirigido por Modelos Journal Article XXI Jornadas de Ingeniería del Software y Bases de Datos, 219 , pp. 198, 2020. Links | BibTeX | Tags: Data Science, Software, Software Design and Development @article{ISBD2020,
title = {Desarrollo de Software Dirigido por Modelos},
author = {Xabier De Carlos and Goiuria Sagardui and Salvador Trujillo and Alain Perkaz and Mikel Ca\~{n}izo and Aitziber Iglesias and Juan-Pablo Salazar-\'{A}lvarez and Elena G\'{o}mez-Mart\^{i}nez and Miguel de Miguel and Salado-Cid, R. and Romero, J. R. and C'{e}sar Cuevas and Patricia L\'{o}pez Mart\^{i}nez and Jose M Drake and Alfonso de La Vega and Diego Garc\^{i}a-Saiz and Marta Zorrilla and Pablo Sanchez and Juan Boubeta-Puig and Juan Hern\'{a}ndez and Enrique Moguel and Juan Carlos Preciado and Fernando S\'{a}nchez-Figueroa and Javier Troya and Sergio Segura and Antonio Ruiz-Cort'{e}s and Juan M Vara and Valeria De Castro and David Granada and Esperanza Marcos and Jes\'{u}s S\'{a}nchez Cuadrado and Esther Guerra and Juan De Lara and Abel G\'{o}mez-Llana and Jos'{e} Meseguer and Hugo Bruneliere and Jordi Cabot and Javier Luis C\'{a}novas Izquierdo and Leire Orue-Echevarria Arrieta and Oliver Strauss},
url = {http://books.google.com/books?hl=en&lr=&id=MAv0DwAAQBAJ&oi=fnd&pg=PA198&dq=info:ABSWjwekOFkJ:scholar.google.com&ots=lmZwla0kHR&sig=V4eTU2_Zg68m6ws6L9SfUUGnELM},
year = {2020},
date = {2020-01-01},
journal = {XXI Jornadas de Ingenier\^{i}a del Software y Bases de Datos},
volume = {219},
pages = {198},
publisher = {Ediciones Universidad de Salamanca},
keywords = {Data Science, Software, Software Design and Development},
pubstate = {published},
tppubtype = {article}
}
|
Paquette, L; Romero, C Joint Proceedings of the EDM 2019 Workshops Inproceedings CEUR-WS, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @inproceedings{Paquette2020,
title = {Joint Proceedings of the EDM 2019 Workshops},
author = {Paquette, L. and Romero, C.},
url = {http://ceur-ws.org/Vol-2592/xpreface.pdf},
year = {2020},
date = {2020-01-01},
journal = {CEUR Workshop Proceedings},
volume = {2592},
publisher = {CEUR-WS},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Rafferty, A; Whitehill, J; Romero, C; Cavalli-Sforza, V Proceedings of the International Conference on Educational Data Mining (EDM)(13th, Online, July 10-13, 2020). Journal Article International Educational Data Mining Society, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{Rafferty2020,
title = {Proceedings of the International Conference on Educational Data Mining (EDM)(13th, Online, July 10-13, 2020).},
author = {Rafferty, A. and Whitehill, J. and Romero, C. and Cavalli-Sforza, V.},
url = {https://eric.ed.gov/?id=ED607784},
year = {2020},
date = {2020-01-01},
journal = {International Educational Data Mining Society},
publisher = {International Educational Data Mining Society},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Cachi, P; Ventura, S; Cios, K J Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization Inproceedings pp. 773-786, Springer, Cham, 2020. Links | BibTeX | Tags: Classification, Data Science, Supervised Learning @inproceedings{Cachi2020,
title = {Fast Convergence of Competitive Spiking Neural Networks with Sample-Based Weight Initialization},
author = {Cachi, P. and Ventura, S. and Cios, K. J.},
url = {https://link.springer.com/chapter/10.1007/978-3-030-50153-2_57},
year = {2020},
date = {2020-01-01},
pages = {773-786},
publisher = {Springer, Cham},
keywords = {Classification, Data Science, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Mero, K; Meza, J; Ventura, S Artificial intelligence and its impact on the prediction of economic indicators Inproceedings pp. 1-8, 2020. Links | BibTeX | Tags: Data Science, Other @inproceedings{Mero2020,
title = {Artificial intelligence and its impact on the prediction of economic indicators},
author = {Mero, K. and Meza, J. and Ventura, S.},
url = {https://dl.acm.org/doi/abs/10.1145/3410352.3410827},
year = {2020},
date = {2020-01-01},
pages = {1-8},
keywords = {Data Science, Other},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Pinargote-Ortega, M; Bowen-Mendoza, L; Meza, J; Ventura, S Accuracy Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment Inproceedings pp. 1-7, 2020. Links | BibTeX | Tags: Classification, Data Science, Supervised Learning @inproceedings{Pinargote2020,
title = {Accuracy Measures of Sentiment Analysis Algorithms for Spanish Corpus generated in Peer Assessment},
author = {Pinargote-Ortega, M. and Bowen-Mendoza, L. and Meza, J. and Ventura, S.},
url = {https://dl.acm.org/doi/abs/10.1145/3410352.3410838},
year = {2020},
date = {2020-01-01},
pages = {1-7},
keywords = {Classification, Data Science, Supervised Learning},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Bowen-Mendoza, L; Pinargote-Ortega, M; Meza, J; Ventura, S Trends the use of Artificial Intelligence techniques for peer assessment Inproceedings pp. 1-7, 2020. Links | BibTeX | Tags: Data Science @inproceedings{Bowen2020,
title = {Trends the use of Artificial Intelligence techniques for peer assessment},
author = {Bowen-Mendoza, L. and Pinargote-Ortega, M. and Meza, J. and Ventura, S.},
url = {https://dl.acm.org/doi/abs/10.1145/3410352.3410837},
year = {2020},
date = {2020-01-01},
pages = {1-7},
keywords = {Data Science},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Quintero-Domínguez, L; Morell, C; Ventura, S A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming Journal Article Expert Systems with Applications, pp. 114263, 2020. Links | BibTeX | Tags: Data Science, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming @article{Quintero2020,
title = {A propositionalization method of multi-relational data based on Grammar-Guided Genetic Programming},
author = {Quintero-Dom\^{i}nguez, L. and Morell, C. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S095741742030974X},
year = {2020},
date = {2020-01-01},
journal = {Expert Systems with Applications},
pages = {114263},
publisher = {Pergamon},
keywords = {Data Science, Evolutionary Algorithms, Genetic Algorithms, Genetic Programming, Grammar-Based Genetic Programming},
pubstate = {published},
tppubtype = {article}
}
|
Fuentes-Fayos, A; Vázquez-Borrego, M; Jiménez-Vacas, J; Bejarano, L; Pedraza-Arévalo, S; Blanco-Acevedo, C; Sánchez-Sánchez, R; Reyes, O; Ventura, S; Solivera, S; Breunig, J; Blasco, M; Gahete, M; Castaño, J; Luque, R Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3 Journal Article Brain, 2020. Links | BibTeX | Tags: Clinical Data Mining, Data Science, Medical Data Mining @article{FuentesFayos2020,
title = {Splicing machinery dysregulation drives glioblastoma development/aggressiveness: oncogenic role of SRSF3},
author = {Fuentes-Fayos, A. and V\'{a}zquez-Borrego, M. and Jim'{e}nez-Vacas, J. and Bejarano, L. and Pedraza-Ar'{e}valo, S. and Blanco-Acevedo, C. and S\'{a}nchez-S\'{a}nchez, R. and Reyes, O. and Ventura, S. and Solivera, S. and Breunig, J. and Blasco, M. and Gahete, M. and Casta\~{n}o, J. and Luque, R.},
url = {https://academic.oup.com/brain/advance-article-abstract/doi/10.1093/brain/awaa273/5952721},
year = {2020},
date = {2020-01-01},
journal = {Brain},
keywords = {Clinical Data Mining, Data Science, Medical Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Hassan, S; Aljohani, N; Shabbir, M; Ali, U; Iqbal, S; Sarwar, R; Martínez-Cámara, E; Ventura, S; Herrera, F Tweet Coupling: a social media methodology for clustering scientific publications Journal Article Scientometrics, pp. 1-19, 2020. Links | BibTeX | Tags: Clustering, Data Science, Unsupervised Learning @article{Hassan2020bb,
title = {Tweet Coupling: a social media methodology for clustering scientific publications},
author = {Hassan, S. and Aljohani, N. and Shabbir, M. and Ali, U. and Iqbal, S. and Sarwar, R. and Mart\^{i}nez-C\'{a}mara, E. and Ventura, S. and Herrera, F.},
url = {https://link.springer.com/content/pdf/10.1007/s11192-020-03499-1.pdf},
year = {2020},
date = {2020-01-01},
journal = {Scientometrics},
pages = {1-19},
publisher = {Springer},
keywords = {Clustering, Data Science, Unsupervised Learning},
pubstate = {published},
tppubtype = {article}
}
|
Paquette, L; Ocumpaugh, J; Li, Z; Andres, A; Baker, R Who's Learning? Using Demographics in EDM Research. Journal Article Journal of Educational Data Mining, 12 (3), pp. 1–30, 2020. Links | BibTeX | Tags: Data Science, Educational Data Mining @article{paquette2020s,
title = {Who's Learning? Using Demographics in EDM Research.},
author = {Paquette, L. and Ocumpaugh, J. and Li, Z. and Andres, A. and Baker, R.},
doi = {10.5281/zenodo.4143612},
year = {2020},
date = {2020-01-01},
journal = {Journal of Educational Data Mining},
volume = {12},
number = {3},
pages = {1--30},
publisher = {ERIC},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
Pérez, E; Reyes, O; Ventura, S Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study Journal Article Medical image analysis, 67 , pp. 101858, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis @article{Perez2020,
title = {Convolutional neural networks for the automatic diagnosis of melanoma: An extensive experimental study},
author = {P'{e}rez, E. and Reyes, O. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S136184152030222X},
year = {2020},
date = {2020-01-01},
journal = {Medical image analysis},
volume = {67},
pages = {101858},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Deep Learning, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
Reyes, O; Pérez, E; Luque, R; Castaño, J; Ventura, S A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis Journal Article Artificial Intelligence in Medicine, 108 , pp. 101950, 2020. Links | BibTeX | Tags: Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis @article{Reyes2020,
title = {A supervised machine learning-based methodology for analyzing dysregulation in splicing machinery: An application in cancer diagnosis},
author = {Reyes, O. and P'{e}rez, E. and Luque, R. and Casta\~{n}o, J. and Ventura, S.},
url = {https://www.sciencedirect.com/science/article/pii/S0933365719312187},
year = {2020},
date = {2020-01-01},
journal = {Artificial Intelligence in Medicine},
volume = {108},
pages = {101950},
publisher = {Elsevier},
keywords = {Cancer, Data Preprocessing, Data Science, Medical Data Mining, Melanoma Diagnosis},
pubstate = {published},
tppubtype = {article}
}
|
2019
|
Luna, J M; Fournier-Viger, P; Ventura, S Frequent itemset mining: A 25 years review Journal Article Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 9 , 2019. Links | BibTeX | Tags: Data Science, Pattern Mining @article{Luna2019,
title = {Frequent itemset mining: A 25 years review},
author = {Luna, J. M. and Fournier-Viger, P. and Ventura, S.},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069672401&doi=10.1002%2fwidm.1329&partnerID=40&md5=3475dfa9e7dc458a2490f506a432a0a9},
doi = {10.1002/widm.1329},
year = {2019},
date = {2019-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {9},
keywords = {Data Science, Pattern Mining},
pubstate = {published},
tppubtype = {article}
}
|
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 @incollection{Salado-Cid-2018-DMU,
title = {On the need of opening the Big Data landscape to everyone: challenges and new trends},
author = {Salado-Cid, R. and Ram\^{i}rez, A. and Romero, J. R.},
editor = {Linnhoff-Popien, C. and Schneider, R. and Zaddach, M.},
url = {https://doi.org/10.1007/978-3-662-49275-8_60},
doi = {10.1007/978-3-662-49275-8_60},
isbn = {978-3-662-49275-8},
year = {2018},
date = {2018-01-01},
booktitle = {Digital Marketplaces Unleashed},
pages = {675-687},
publisher = {Springer Berlin Heidelberg},
address = {Berlin, Heidelberg},
keywords = {Big Data Mining, Data Science, Scientific workflows},
pubstate = {published},
tppubtype = {incollection}
}
|
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 @inproceedings{Salado-Cid2018-CAEPIA,
title = {Interoperabilidad de flujos de trabajo intensivos en datos en Industria 4.0: caso de estudio},
author = {Salado-Cid, R. and Molino, J. and Romero, J. R.},
url = {https://sci2s.ugr.es/caepia18/proceedings/docs/CAEPIA2018_paper_166.pdf},
isbn = {978-84-09-05643-9},
year = {2018},
date = {2018-01-01},
booktitle = {I Workshop en Aplicaciones de la Inteligencia Artificial para la Industria 4.0 (Industria 4.0 2018)},
pages = {1333-1338},
keywords = {Data Science, Scientific workflows},
pubstate = {published},
tppubtype = {inproceedings}
}
|
Cano, A Social Media and Machine Learning Book 1st, InTech, 2018, ISBN: 978-1-78984-028-5. BibTeX | Tags: Data Science @book{2018-BOOK-SMML,
title = {Social Media and Machine Learning},
author = {Cano, A.},
isbn = {978-1-78984-028-5},
year = {2018},
date = {2018-01-01},
publisher = {InTech},
edition = {1st},
keywords = {Data Science},
pubstate = {published},
tppubtype = {book}
}
|
2017
|
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 @article{AltalhiLVV17,
title = {Evaluation and comparison of open source software suites for data mining and knowledge discovery},
author = {Altalhi, A. H. and Luna, J. M. and Vallejo, M. A. and Ventura, S.},
doi = {10.1002/widm.1204},
year = {2017},
date = {2017-01-01},
journal = {Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery},
volume = {7},
number = {3},
keywords = {Data Mining Software, Data Science},
pubstate = {published},
tppubtype = {article}
}
|
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 @article{LunaCR17,
title = {MDM tool: A data mining framework integrated into Moodle},
author = {Luna, J. M. and Castro, C. and Romero, C.},
doi = {10.1002/cae.21782},
year = {2017},
date = {2017-01-01},
journal = {Computer Applications in Engineering Education},
volume = {25},
number = {1},
pages = {90--102},
keywords = {Data Mining Software, Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
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 @article{romero2017educational,
title = {Educational data science in massive open online courses},
author = {Romero, C. and Ventura, S.},
doi = {10.1002/widm.1187},
year = {2017},
date = {2017-01-01},
journal = {WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY},
volume = {7},
number = {1},
pages = {1-12},
publisher = {WILEY PERIODICALS, INC ONE MONTGOMERY ST, SUITE 1200, SAN FRANCISCO, CA 94104 USA},
keywords = {Data Science, Educational Data Mining},
pubstate = {published},
tppubtype = {article}
}
|
2016
|
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 @inproceedings{Salado-Cid2016-ISDA,
title = {Enabling the definition and reuse of multi-domain workflow-based data analysis},
author = {Salado-Cid, R. and Romero, J. R.},
year = {2016},
date = {2016-01-01},
booktitle = {16th International Conference on Intelligent Systems Design and Applications (ISDA'16)},
keywords = {Data Science, Scientific workflows},
pubstate = {published},
tppubtype = {inproceedings}
}
|