Zobrazeno 1 - 10
of 31
pro vyhledávání: '"María Martínez-Ballesteros"'
Autor:
Manuel J. Jiménez-Navarro, María Martínez-Ballesteros, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-19 (2023)
Abstract Ensuring the optimal performance of power transformers is a laborious task in which the insulation system plays a vital role in decreasing their deterioration. The insulation system uses insulating oil to control temperature, as high tempera
Externí odkaz:
https://doaj.org/article/9c68d473dd4d429f82c002f1adab350b
Autor:
Ejigu Tefera Habtemariam, Kula Kekeba, María Martínez-Ballesteros, Francisco Martínez-Álvarez
Publikováno v:
Energies, Vol 16, Iss 5, p 2317 (2023)
Renewable energies, such as solar and wind power, have become promising sources of energy to address the increase in greenhouse gases caused by the use of fossil fuels and to resolve the current energy crisis. Integrating wind energy into a large-sca
Externí odkaz:
https://doaj.org/article/ddd592e0f67e455a9a6f75db336de5f9
Autor:
Manuel Jesús Jiménez-Navarro, María Martínez-Ballesteros, Isabel Sofia Sousa Brito, Francisco Martínez-Álvarez, Gualberto Asencio-Cortés
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031180491
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c51e2d63a042853ca39d29b22dea25d1
https://doi.org/10.1007/978-3-031-18050-7_54
https://doi.org/10.1007/978-3-031-18050-7_54
Publikováno v:
Information Sciences. 487:1-17
Clustering is one of the most commonly used techniques in data mining. Its main goal is to group objects into clusters so that each group contains objects that are more similar to each other than to objects in other clusters. The evaluation of a clus
Autor:
José María Luna-Romera, Fernando Núñez-Hernández, José C. Riquelme, Carlos Usabiaga Ibáñez, María Martínez-Ballesteros
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
IEEE Access, Vol 7, Pp 121695-121708 (2019)
instname
IEEE Access, Vol 7, Pp 121695-121708 (2019)
Unemployment in Spain is one of the biggest concerns of its inhabitants. Its unemployment rate is the second highest in the European Union, and in the second quarter of 2018 there is a 15.2% unemployment rate, some 3.4 million unemployed. Constructio
Autor:
José María Luna-Romera, José M. García-Heredia, Laura Macías-García, José C. Riquelme-Santos, Jorge García-Gutiérrez, María Martínez-Ballesteros
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Breast cancer is the most frequent cancer in women and the second most frequent overall after lung cancer. Although the 5-year survival rate of breast cancer is relatively high, recurrence is also common which often involves metastasis with its conse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76efb7667a0afbdb6ac495763cc30046
http://hdl.handle.net/10261/239028
http://hdl.handle.net/10261/239028
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
Autor:
José C. Riquelme-Santos, Jesús Alcalá-Fdez, D. Martín, Francisco Herrera, María Martínez-Ballesteros, Diego García-Gil
Publikováno v:
Knowledge-Based Systems. 153:176-192
Many algorithms have emerged to address the discovery of quantitative association rules from datasets in the last years. However, this task is becoming a challenge because the processing power of most existing techniques is not enough to handle the l
Autor:
María Martínez-Ballesteros, Isabel A. Nepomuceno-Chamorro, José M. García-Heredia, José C. Riquelme-Santos
Publikováno v:
Information Fusion. 36:114-129
Alzheimer’s disease is a complex progressive neurodegenerative brain disorder, being its prevalence expected to rise over the next decades. Unconventional strategies for elucidating the genetic mechanisms are necessary due to its polygenic nature.
Publikováno v:
Neurocomputing. 176:36-47
There exist several works in the literature in which fitness functions based on a combination of weighted measures for the discovery of association rules have been proposed. Nevertheless, some differences in the measures used to assess the quality of
Publikováno v:
Knowledge and Information Systems. 49:481-509
This work aims at correcting flaws existing in multi-objective evolutionary schemes to discover quantitative association rules, specifically those based on the well-known non-dominated sorting genetic algorithm-II (NSGA-II). In particular, a methodol