Publicação
A Data Mining approach towards effective Dengue outbreak prediction in Seremban, Malaysia
| Resumo: | In Malaysia, the incidence rate of Dengue Fever and Dengue Haemorrhagic Fever has reached the level of epidemic, and its numbers keep growing. In the last few years, a big effort has been put into developing methods for predicting dengue outbreaks. However, the path for undertaking effectively those predictions, and therefore save Human lives, is still a very long one. This dissertation work focused on the use of Data Mining techniques, for discovering hidden patterns on data obtained by crossing information related to patients infected with dengue in Malaysia and meteorological data coming from the areas where those patients got infected. |
|---|---|
| Autores principais: | Coutinho, Celso Filipe Nogueira |
| Assunto: | Clustering Cross-industry standard process for Data Mining Data Mining Decision Trees Dengue Fever Knowledge discovery in databases Árvores de Decisão Descoberta de conhecimento em bases de dados Febre de Dengue Mineração de dados Processo padrão inter-indústrias para mineração de dados Segmentação Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| Ano: | 2016 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | In Malaysia, the incidence rate of Dengue Fever and Dengue Haemorrhagic Fever has reached the level of epidemic, and its numbers keep growing. In the last few years, a big effort has been put into developing methods for predicting dengue outbreaks. However, the path for undertaking effectively those predictions, and therefore save Human lives, is still a very long one. This dissertation work focused on the use of Data Mining techniques, for discovering hidden patterns on data obtained by crossing information related to patients infected with dengue in Malaysia and meteorological data coming from the areas where those patients got infected. |
|---|