Spatio-Temporal Data Mining for Location-Based Services

Gyozo Gidofalvi

Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

Resumé

Location-Based Services (LBS) are continuously gaining popularity. Innovative LBSes integrate knowledge about the users into the service. Such knowledge can be derived by analyzing the location data of users. Such data contain two unique dimensions, space and time, which need to be analyzed. The objectives of the presented thesis are three-fold. First, to extend popular data mining methods to the spatio-temporal domain. Second, to demonstrate the usefulness of the extended methods and the derived knowledge in promising LBS examples. Finally, to eliminate privacy concerns in connection with spatio-temporal data mining by devising systems for privacy-preserving location data collection and mining.
OriginalsprogEngelsk
ForlagAalborg Universitet
Antal sider198
StatusUdgivet - 2008
NavnPh.D. thesis
Nummer44
ISSN1601-0590

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Location based services
Data mining

Citer dette

Gidofalvi, G. (2008). Spatio-Temporal Data Mining for Location-Based Services. Aalborg Universitet. Ph.D. thesis, Nr. 44
Gidofalvi, Gyozo. / Spatio-Temporal Data Mining for Location-Based Services. Aalborg Universitet, 2008. 198 s. (Ph.D. thesis; Nr. 44).
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Gidofalvi, G 2008, Spatio-Temporal Data Mining for Location-Based Services. Ph.D. thesis, nr. 44, Aalborg Universitet.

Spatio-Temporal Data Mining for Location-Based Services. / Gidofalvi, Gyozo.

Aalborg Universitet, 2008. 198 s. (Ph.D. thesis; Nr. 44).

Publikation: Bog/antologi/afhandling/rapportPh.d.-afhandlingForskning

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Gidofalvi G. Spatio-Temporal Data Mining for Location-Based Services. Aalborg Universitet, 2008. 198 s. (Ph.D. thesis; Nr. 44).