Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/13953
Título: | A business intelligence infrastructure supporting respiratory health analysis |
Autor(es): | Dinis, Ricardo Ribeiro, A. Santos, Maribel Yasmina Cruz, Jorge M. Araújo, Artur Teles de |
Palavras-chave: | Business intelligence Data mining On-line analytical processing Chronic obstructive pulmonary disease |
Data: | Set-2011 |
Resumo(s): | Business Intelligence Systems are being designed and implemented to support data analysis tasks that help organizations in the achievement of their goals. These tasks are accomplished using several technologies aimed to store and analyze data. This paper presents the particular case of the design and implementation of a business intelligence system to support health care specialists in the analysis and characterization of symptoms related with the chronic obstructive pulmonary disease. For this specific application domain, a data mart model is proposed, implemented and loaded, allowing the analysis of the available data using on-line analytical processing technology and a spatial data mining algorithm. The results obtained so far are promising, demonstrating the usefulness of the proposed business intelligence approach to characterize the key factors in the comprehension of the disease under analysis. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/13953 |
ISBN: | 978-1-61208-160-1 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | DSI - Engenharia da Programação e dos Sistemas Informáticos |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Bustech_2011_RD_AR_MYS_JC_ATA.pdf Acesso restrito! | Documento Principal | 295,92 kB | Adobe PDF | Ver/Abrir |