Geo-spatial data mining in the analysis of a demographic database
| Autor: | L. Alfredo Amaral, M. Yasmina Santos |
|---|---|
| Přispěvatelé: | Universidade do Minho |
| Jazyk: | angličtina |
| Rok vydání: | 2005 |
| Předmět: |
Science & Technology
Database Computer science Spatial database Inference Computational intelligence 02 engineering and technology computer.software_genre Theoretical Computer Science Spatial relation Qualitative reasoning Knowledge extraction 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Geometry and Topology Data mining Qualitative spatial reasoning Spatial analysis computer Software Geo-spatial data |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
| Popis: | Spatial data mining refers to the extraction of knowledge, spatial relationships, or other interesting patterns not explicitly stored in spatial databases. The approaches usually followed in the analysis of geo-spatial data with the aim of knowledge discovery are essentially characterised by the development of new algorithms, which treat the position and extension of objects mainly through the manipulation of their co-ordinates. In this paper a new approach to this process is presented, where geographic identifiers give the positional aspects of geographic data. These 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 analysis of a demographic database, with the proposed principles, enabled the discovery of patterns that are hidden in the explored geo-spatial and demographic data. |
| Databáze: | OpenAIRE |
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