Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/11088

TitleMining Geo-referenced Databases: a way to improve decision-making
Author(s)Santos, Maribel Yasmina
Amaral, Luís
Issue date2008
PublisherIGI Global
CitationSantos, Maribel Yasmina, and Luís Amaral, "Mining Geo-referenced Databases: a way to improve decision-making”, In John Wang (Ed.), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications, IGI Global, 2008, Chapter 2.22, pp. 880-912, ISBN 978-1-59904-951-9 (h-book) ISBN 978-1-59904-952-6 (e-book).
Abstract(s)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 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.
TypeArticle
URIhttp://hdl.handle.net/1822/11088
ISBN978-1-59904-951-9
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DSI - Engenharia da Programação e dos Sistemas Informáticos

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