Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/1359

TitleGeo-spatial data mining in the analysis of a demographic database
Author(s)Santos, Maribel Yasmina
Amaral, Luís
KeywordsData mining
Qualitative spatial reasoning
Geo-spatial data
Issue dateMay-2005
PublisherSpringer Verlag
JournalSoft Computing
Citation“Soft computing applications to spatial data analysis”. ISSN 1432-7643. 9:5 (2005) 374-384.
Abstract(s)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.
TypeArticle
URIhttp://hdl.handle.net/1822/1359
DOI10.1007/s00500-004-0417-0
ISSN1432-7643
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DSI - Engenharia da Programação e dos Sistemas Informáticos

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