ListarArtículos Científicos WOS y SCOPUS por tema "data mining"
Mostrando ítems 1-12 de 12
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A Systematic Literature Review of Empirical Studies on Learning Analytics in Educational Games
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 12/2021)Learning analytics (LA) in educational games is considered an emerging practice due to its potential of enhancing the learning process. Growing research on formative assessment has shed light on the ways in which students' ... -
Analysis and Data Visualization of Labor Demand in Ecuadorian Territory
(2018 ICAI Workshops (ICAIW), 2018)This paper presents the experience of the data obtained on labor demand in Ecuador, the data were taken from a source of data publications made in a job posting website, encouraging the use of Web Scraping tools for the ... -
Análisis de sentimiento a las opiniones generadas en la red social twitter: Marketing Político
(RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020)Las opiniones que se generan en la red social Twitter son un contenido con carga emocional que, por su naturaleza no estructurada, requieren ser analizadas y exploradas mediante la utilización de técnicas para el análisis ... -
Characteristics of the schools resilient to violence. A study based on data from ICCS 2016 in Chile, Mexico and Colombia
(International Journal of Educational Research, 2021)Violence in schools is one of the main concerns in Latin American countries and is one of the main threats for schools to be effective in providing high-quality education. For this work, data from ICCS 2016 is used to fit ... -
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 ... -
Creating a Recommender System to Support Higher Education Students in the Subject Enrollment Decision
(IEEE Access, 2020)Higher Education plays a principal role in the changing and complex world of today, and there has been rapid growth in the scientific literature dedicated to predicting students academic success or risk of dropout thanks ... -
Finding an accurate early forecasting model from small dataset: A case of 2019-nCoV novel coronavirus outbreak
(International Journal of Interactive Multimedia and Artificial Intelligence, 03/2020)Epidemic is a rapid and wide spread of infectious disease threatening many lives and economy damages. It is important to fore-tell the epidemic lifetime so to decide on timely and remedic actions. These measures include ... -
Seaport sustainable: use of artificial intelligence to evaluate liquid natural gas utilization in short sea shipping
(Transportation Journal, 2019)In the present research, a methodology is developed to determine the relationship between the variables that define the use of liquefied natural gas in short sea shipping in Europe, through the use of data-mining techniques. ... -
Sentiment analysis methods for politics and hate speech contents in Spanish language: a systematic review
(IEEE Latin America Transactions, 2023)The political debate in social networks, and its derivatives such as hate speech, has surfaced at the top of the social agenda due to its impact on public opinion and, consequently, in the communication strategies of ... -
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, ... -
Use of Data Mining to Predict the Influx of Patients to Primary Healthcare Centres and Construction of an Expert System
(Applied Sciences (Switzerland), 2022)In any productive sector, predictive tools are crucial for optimal management and decision-making. In the health sector, it is especially important to have information available in advance, as this not only means optimizing ... -
Worldwide Research on Low Cost Technologies through Bibliometric Analysis
(Inventions, 03/2020)It is essential to address research into low‐cost technologies, as those employed on a wide scale demand a great amount of resources. The main goal of this work was to analyze the research on low cost technologies worldwide ...