Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Carlos Fernandez-Basso"'
Autor:
Jose A. Diaz-Garcia, Karel Gutiérrez-Batista, Carlos Fernandez-Basso, M. Dolores Ruiz, Maria J. Martin-Bautista
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-16 (2024)
Abstract Nowadays, social networks have taken on an irreplaceable role as sources of information. Millions of people use them daily to find out about the issues of the moment. This success has meant that the amount of content present in social networ
Externí odkaz:
https://doaj.org/article/70a712746bbe4814bea77f173172a78e
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-18 (2023)
Abstract The enormous amount of data generated by sensors and other data sources in modern grid management systems requires new infrastructures, such as IoT (Internet of Things) and Big Data architectures. This, in combination with Data Mining techni
Externí odkaz:
https://doaj.org/article/4fc1968db55a4903aed564ab0ed55379
Autor:
Alberto S. Ortega-Calvo, Roberto Morcillo-Jimenez, Carlos Fernandez-Basso, Karel Gutiérrez-Batista, Maria-Amparo Vila, Maria J. Martin-Bautista
Publikováno v:
Future Generation Computer Systems. 143:248-264
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1dc28fd89d82d5598eab43e09c13f00
https://doi.org/10.1016/j.future.2023.02.002
https://doi.org/10.1016/j.future.2023.02.002
Publikováno v:
IEEE Transactions on Industrial Informatics. 18:5738-5747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76b586e2084a521a6fe97a2bc624d661
https://doi.org/10.1109/tii.2021.3130052
https://doi.org/10.1109/tii.2021.3130052
Autor:
Carlos Fernandez-Basso, Karel Gutiérrez-Batista, Roberto Morcillo-Jiménez, Maria-Amparo Vila, Maria J. Martin-Bautista
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
instname
instname
In this paper we have addressed the extraction of hidden knowledge from medical records using data mining techniques such as association rules in conjunction with fuzzy logic in a distributed environment. A significant challenge in this domain is tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e6f7115b8e6d051217c29c32c9420a9
http://hdl.handle.net/10481/75585
http://hdl.handle.net/10481/75585
Publikováno v:
IEEE Transactions on Fuzzy Systems. 28:2747-2758
The discovery and exploitation of hidden information in collected data have gained attention in many areas, particularly in the energy field due to their economic and environmental impact. Data mining techniques have then emerged as a suitable toolbo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4f1bc8f86d9d486f47b7cb66997dfb5
https://doi.org/10.1109/tfuzz.2020.2992180
https://doi.org/10.1109/tfuzz.2020.2992180
Autor:
J. Angel Diaz-Garcia, Carlos Fernandez-Basso, Jesica Gómez-Sánchez, Karel Gutiérrez-Batista, M. Dolores Ruiz, Maria J. Martin-Bautista
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089732
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fbbcc52164077ef22fcc56e5f83cf81f
https://doi.org/10.1007/978-3-031-08974-9_25
https://doi.org/10.1007/978-3-031-08974-9_25
Improving Text Clustering Using a New Technique for Selecting Trustworthy Content in Social Networks
Autor:
J. Angel Diaz-Garcia, Carlos Fernandez-Basso, Karel Gutiérrez-Batista, M. Dolores Ruiz, Maria J. Martin-Bautista
Publikováno v:
Information Processing and Management of Uncertainty in Knowledge-Based Systems ISBN: 9783031089732
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e01647e7bfb4e1fb4a8cd33cdefb54ec
https://doi.org/10.1007/978-3-031-08974-9_22
https://doi.org/10.1007/978-3-031-08974-9_22
Publikováno v:
Digibug. Repositorio Institucional de la Universidad de Granada
Consorcio Madroño
Consorcio Madroño
The research reported in this paper was partially supported the COPKIT project from the 8th Programme Framework (H2020) research and innovation programme (grant agreement No 786687) and from the BIGDATAMED projects with references B-TIC-145-UGR18 and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3022db4ac201f2d7c641031af67c5ef6
http://hdl.handle.net/10481/73037
http://hdl.handle.net/10481/73037
Autor:
Juan Gómez-Romero, Miguel Molina-Solana, M. Victoria Cambronero, Jesús R. Campaña, M. Dolores Ruiz, Maria J. Martin-Bautista, Carlos Fernandez-Basso
Publikováno v:
IEEE Access, Vol 7, Pp 38748-38765 (2019)
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Digibug. Repositorio Institucional de la Universidad de Granada
instname
Despite the increasing capabilities of information technologies for data acquisition and processing, building energy management systems still require manual configuration and supervision to achieve optimal performance. Model predictive control (MPC)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cde72024e7afe2374f154619feae2b45
https://ieeexplore.ieee.org/document/8669762/
https://ieeexplore.ieee.org/document/8669762/