Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5582

TitleAutomatic classification of location contexts with decision trees
Author(s)Santos, Maribel Yasmina
Moreira, Adriano
KeywordsLocation contexts
Space models
Data mining
Decision trees
Clustering
Issue date2006
PublisherUniversidade do Minho. Escola de Engenharia (EEng)
CitationJOSÉ, Rui ; BAQUERO, Carlos, ed. lit. – “CSMU’2006 : proceedings of the Conference on Mobile and Ubiquitous Systems, Guimarães, Portugal, 2006”. Guimarães : Universidade do Minho - Escola de Engenharia, D.L. 2006. ISBN 972-8692-29-3. p. 79-88.
Abstract(s)Location contexts are geographic regions, with well defined boundaries, that can be used to characterize the context of the persons lying inside them. In this paper we describe a process that exploits the increasing availability of geographic data to automatically create and classify location contexts. The pro-posed process generates new geographic regions from a database of Points Of Interest through the use of spatial clustering techniques, and classifies them automatically using a decision tree based method. Some preliminary results demonstrate the validity of this approach, while suggesting that a richer geographic database could produce location contexts of higher quality.
TypeConference paper
URIhttp://hdl.handle.net/1822/5582
ISBN972-8692-29-3
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
DSI - Engenharia da Programação e dos Sistemas Informáticos

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