Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/1353

TitleMining geo-referenced databases: a way to improve decision-making
Author(s)Santos, Maribel Yasmina
Amaral, Luís
KeywordsSpatial data mining
Qualitative spatial reasoning
Geo-referenced data
Issue date2005
PublisherIdea Group Publishing
CitationPICK, James B., ed. lit. – “Geographic information systems in business”. Hershey, PA : Idea Group, cop. 2005. ISBN 1-59140-400-2. p. 113-149.
Abstract(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.
TypeBook part
URIhttp://hdl.handle.net/1822/1353
AccessOpen access
Appears in Collections:DSI - Engenharia da Programação e dos Sistemas Informáticos

Files in This Item:
File Description SizeFormat 
GISinB_MYS_LAA.pdf1,43 MBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID