Clustering the mobile phone positions based on suffix tree and Self-Organizing Maps

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dc.contributor.author Martinovič, Jan
dc.contributor.author Novosád, Tomáš
dc.contributor.author Snášel, Václav
dc.contributor.author Scherer, Peter
dc.contributor.author Klement, Petr
dc.contributor.author Šebesta, Roman
dc.date.accessioned 2012-11-12T11:03:01Z
dc.date.available 2012-11-12T11:03:01Z
dc.date.issued 2012
dc.identifier.citation Neural network world. 2012, vol. 22, issue 4, p. 371-386. cs
dc.identifier.issn 1210-0552
dc.identifier.uri http://hdl.handle.net/10084/95705
dc.description.abstract In 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.iso en cs
dc.publisher Akademie věd České republiky, Ústav informatiky cs
dc.relation.ispartofseries Neural network world cs
dc.title Clustering the mobile phone positions based on suffix tree and Self-Organizing Maps cs
dc.type Article cs
dc.identifier.location Není ve fondu ÚK cs
dc.type.status Peer-reviewed cs
dc.description.source Web of Science cs
dc.description.volume 22 cs
dc.description.issue 4 cs
dc.description.lastpage 386 cs
dc.description.firstpage 371 cs
dc.identifier.wos 000309320500005

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