Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/38341
Título: | Improving selective collection of urban waste using a business intelligence system |
Autor(es): | Belo, O. Oliveira, Bruno Medeiros, Mariana Leite, Mário Faria, Pedro |
Palavras-chave: | Business Intelligence Data Warehousing Systems ETL Systems OLAP Systems Selective Collection of Waste Waste Control and Monitoring Systems Kettle |
Data: | 14-Set-2015 |
Editora: | CRC Press/Balkema |
Resumo(s): | Today recovering urban waste requires effective management services, which usually imply sophisticated monitoring and analysis mechanisms. This is essential for the smooth running of the entire recycling process as well as for planning and control urban waste recovering. In this paper we present a business intelligence system especially designed and im- plemented to support regular decision-making tasks on urban waste management processes. The system provides a set of domain-oriented analytical tools for studying and characterizing poten- tial scenarios of collection processes of urban waste, as well as for supporting waste manage- ment in urban areas, allowing for the organization and optimization of collection services. In or- der to clarify the way the system was developed and the how it operates, particularly in process visualization and data analysis, we also present the organization model of the system, the ser- vices it disposes, and the interface platforms for exploring data. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/38341 |
ISBN: | 9781138028821 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2015-CI-Wastes-BeloEtAL-CRP.pdf Acesso restrito! | Artigo completo publicado. | 2,43 MB | Adobe PDF | Ver/Abrir |