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dc.contributor.authorMartinovič, Jan
dc.contributor.authorNovosád, Tomáš
dc.contributor.authorSnášel, Václav
dc.contributor.authorScherer, Peter
dc.contributor.authorKlement, Petr
dc.contributor.authorŠebesta, Roman
dc.date.accessioned2012-11-12T11:03:01Z
dc.date.available2012-11-12T11:03:01Z
dc.date.issued2012
dc.identifier.citationNeural network world. 2012, vol. 22, issue 4, p. 371-386.cs
dc.identifier.issn1210-0552
dc.identifier.urihttp://hdl.handle.net/10084/95705
dc.description.abstractIn this article we present a novel method for mobile phone positioning using a vector space model, suffix trees and an information retrieval approach. The algorithm is based on a database of previous measurements which are used as an index which looks for the nearest neighbor toward the query measurement. The accuracy of the algorithm is, in most cases, good enough to accomplish the E9-1-1 standards requirements on tested data. In addition, we are trying to look at the clusters of patterns that we have created from measured data and we have reflected them to the map. We use Self-Organizing Maps for these purposes.cs
dc.language.isoencs
dc.publisherAkademie věd České republiky, Ústav informatikycs
dc.relation.ispartofseriesNeural network worldcs
dc.titleClustering the mobile phone positions based on suffix tree and Self-Organizing Mapscs
dc.typearticlecs
dc.identifier.locationNení ve fondu ÚKcs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume22cs
dc.description.issue4cs
dc.description.lastpage386cs
dc.description.firstpage371cs
dc.identifier.wos000309320500005


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