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Interactivity to improve visual analysis in groups with different literacy levels

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Resumo(s)

Forecasting model selection and model combination are the two contending approaches in the time series forecasting literature. Ensemble learning is useful for addressing a given predictive task by different predictive models when direct mapping from inputs to outputs is inaccurate. We adopt a layered learning approach to an ensemble learning strategy to solve the predictive tasks with improved predictive performance and take advantage of multiple learning processes into an ensemble model. In this proposed strategy, we build each model with a specific holdout and make the ensemble model of time series with a dynamic selection approach. For the experimental section, we studied more than twelve thousand observations in a portfolio of 61-time series of reported respiratory disease deaths to show the amount of improvement in predictive performance of excess mortality. Then we compare the forecasting outcome of our model with the corresponding total deaths of COVID-19 for selected countries.

Descrição

Oliveira, M., Cabral, P., & Taibi, D. (2021). Interactivity to improve visual analysis in groups with different literacy levels. In CAPSI 2021 Proceedings: 21ª Conferência da Associação Portuguesa de Sistemas de Informação, "Sociedade 5.0: Os desafios e as Oportunidades para os Sistemas de Informação (pp. 1-11). [21.ª Conferência da Associação Portuguesa de Sistemas de Informação (CAPSI’2021) 13 a 16 de outubro de 2021, Vila Real e Viseu, Portugal]. Associação Portuguesa de Sistemas de Informação. Link: https://aisel.aisnet.org/capsi2021/10. -----DATALIT has been funded as Knowledge Alliance under the Erasmus+ Program by European Commission. Project reference: 612561-EPP-1-2019-1-IT-EPPKA2-KA

Palavras-chave

Data Visualization Data Literacy Interactivity Information Systems and Management Management Information Systems Management of Technology and Innovation Information Systems Computer Science Applications

Contexto Educativo

Citação

Projetos de investigação

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Fascículo

Editora

APSI - Associação Portuguesa de Sistemas de Informação

Licença CC