Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/1353
Título: | Mining geo-referenced databases: a way to improve decision-making |
Autor(es): | Santos, Maribel Yasmina Amaral, Luís |
Palavras-chave: | Spatial data mining Qualitative spatial reasoning Geo-referenced data |
Data: | 2005 |
Editora: | Idea Group Publishing |
Citação: | PICK, James B., ed. lit. – “Geographic information systems in business”. Hershey, PA : Idea Group, cop. 2005. ISBN 1-59140-400-2. p. 113-149. |
Resumo(s): | Knowledge discovery in databases is a process that aims at the discovery of associations within data sets. The analysis of geo-referenced data demands a particular approach in this process. This chapter presents a new approach to the process of knowledge discovery, in which qualitative geographic identifiers give the positional aspects of geographic data. Those identifiers are manipulated using qualitative reasoning principles, which allows for the inference of new spatial relations required for the data mining step of the knowledge discovery process. The efficacy and usefulness of the implemented system — PADRÃO — has been tested with a bank dataset. The results obtained support that traditional knowledge discovery systems, developed for relational databases and not having semantic knowledge linked to spatial data, can be used in the process of knowledge discovery in geo-referenced databases, since some of this semantic knowledge and the principles of qualitative spatial reasoning are available as spatial domain knowledge. |
Tipo: | Capítulo de livro |
URI: | https://hdl.handle.net/1822/1353 |
Acesso: | Acesso aberto |
Aparece nas coleções: | DSI - Engenharia da Programação e dos Sistemas Informáticos |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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GISinB_MYS_LAA.pdf | 1,43 MB | Adobe PDF | Ver/Abrir |