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Mostrando ítems 1-10 de 38
Supporting academic decision making at higher educational institutions using machine learning-based algorithms
(Soft Computing, 2018)
Decisions made by deans and university managers greatly impact the entire academic community as well as society as a whole. In this paper, we present survey results on which academic decisions they concern and the variables ...
Predicting ore content throughout a machine learning procedure – An Sn-W enrichment case study
(Journal of Geochemical Exploration, 2020-01)
The distribution patterns of trace elements are very useful for predicting mineral deposits occurrence. Machine learning techniques were used for the computation of adequate models in trace elements' prediction. The main ...
Un Análisis de Sentimiento en Twitter con Machine Learning: Identificando el sentimiento sobre las ofertas de #BlackFriday
(Espacios, 2018-06)
Twitter se ha convertido en una red social ideal para el análisis de audiencias y el estudio de opiniones sobre eventos y acontecimientos en tiempo real alrededor del mundo. El objetivo de esta investigación es el de ...
Clustering analysis for automatic certification of LMS strategies in a university virtual campus
(IEEE Access, 2019)
In recent years, the use of Learning Management Systems (LMS) has grown considerably.
This has had a strong effect on the learning process, particularly in higher education. Most universities
incorporate LMS as a complement ...
Towards the use of Data Engineering, Advanced Visualization techniques and Association Rules to support knowledge discovery for public policies
(Expert systems with applications, 2021)
Education and employment are key aspects of a country's well-being. Governments expend valuable resources on designing education plans and employment programs. These two aspects are usually analysed separately, although, ...
Usage of machine learning for strategic decision making at Higher Educational Institutions
(IEEE Access, 2019)
Decisions made at the strategic level of Higher Educational Institutions (HEIs) affect policies, strategies, and actions that the institutions make as a whole. Decision's structures at HEIs are depicted in this paper and ...
Predicting the ideological orientation during the Spanish 24M elections in Twitter using machine learning
(AI and Society, 2019-09-01)
Through the application of machine learning techniques, this paper aims to estimate the importance of messages with ideological load during the elections held in Spain on May 24th, 2015 posted by Twitter’s users, as well ...
Review: machine learning techniques applied to cybersecurity
(International Journal of Machine Learning and Cybernetics, 2019-10)
Machine learning techniques are a set of mathematical models to solve high non-linearity problems of different topics: prediction, classification, data association, data conceptualization. In this work, the authors review ...
An Evolutionary SVM Model for DDOS Attack Detection in Software Defined Networks
(IEEE ACCESS, 2020)
Software-Defined Network (SDN) has become a promising network architecture in current days that provide network operators more control over the network infrastructure. The controller, also called as the operating system ...
Adaptive contents for interactive TV guided by machine learning based on predictive sentiment analysis of data
(Soft Computing, 2017-03)
This paper describes a new proposal for interactive television which is an answer to a continuous change in the traditional television as consequence of the inclusion and evolution of the digital social networks, the ...