Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Riquelme Santos, José Cristóbal"'
Autor:
MELGAR GARCÍA, LAURA, TORRES MALDONADO, JOSÉ FRANCISCO, TRONCOSO, ALICIA, RIQUELME SANTOS, JOSÉ CRISTÓBAL
Publikováno v:
Economía Industrial; 2024, Issue 431, p119-130, 12p
Autor:
Lara Benítez, Pedro, Carranza García, Manuel, Gutiérrez Avilés, David, Riquelme Santos, José Cristóbal
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
Processing data streams arriving at high speed requires the development of models that can provide fast and accurate predictions. Although deep neural networks are the state-of-the-art for many machine learning tasks, their performance in real-time d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d4426e06989bd539ef2cfc401272a59
https://doi.org/10.1093/jigpal/jzac033
https://doi.org/10.1093/jigpal/jzac033
Autor:
Cabello López, Tomás, Cañizares Juan, Manuel, Carranza García, Manuel, García Gutiérrez, Jorge, Riquelme Santos, José Cristóbal
Most of the current data sources generate large amounts of data over time. Renewable energy generation is one example of such data sources. Machine learning is often applied to forecast time series. Since data flows are usually large, trends in data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3272::8a13c96042b63a27726a3a7c0b7c25b7
Autor:
Vega Márquez, Belén, Nepomuceno Chamorro, Isabel de los Ángeles, Rubio Escudero, Cristina, Riquelme Santos, José Cristóbal
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
Fundacion Sancho el Sabio Fundazioa (FSS)
Fundacion Sancho el Sabio Fundazioa (FSS)
Generally, classification problems catalog instances according to their target variable with out considering the relation among the different labels. However, there are real problems in which the different values of the class are related to each othe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::e68a8004f6cfde24ec263b67d9f77200
This paper presents a workbench to get simple neural classifcation models based on product evolutionary networks via a prior data preparation at attribute level by means of flter-based feature selection. Therefore, the computation to build the classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3272::fe119168720c3018b3faae71d67b4642
Autor:
Macías García, Laura, Martínez Ballesteros, María del Mar, Luna Romera, José María, García Heredia, José Manuel, García Gutiérrez, Jorge, Riquelme Santos, José Cristóbal
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
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=dedup_wf_001::492f87130fa6f05231ee81cb73948306
This paper explores widely the data preparation stage within the process of knowledge discovery and data mining via feature subset selection in the context of two very well-known neural models: radial basis function neural networks and multi-layer pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3272::9dcba6c0456044d2be632a8357907b4e
Autor:
Luna Romera, José María, Martínez Ballesteros, María del Mar, García Gutiérrez, Jorge, Riquelme Santos, José Cristóbal
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::def844fa08f08a21a2c83cf2265050e2
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
instname
En este vídeo divulgativo se hace una introducción a una de las técnicas de análisis de datos más usada, el clustering. En él, se explica a través de sencillos ejemplos qué es el clustering y cómo se analizan las distintas soluciones que ofr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2e90fc5650c07fa68d3d50f575e18a14
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems
Autor:
Martín, D., Martínez Ballesteros, María del Mar, García Gil, D., Alcalá Fernández, J., Herrera, F., Riquelme Santos, José Cristóbal
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
Fundacion Sancho el Sabio Fundazioa (FSS)
Fundacion Sancho el Sabio Fundazioa (FSS)
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a0171c900a7dfacf9ae5f52dfe70cbb7