About: CLUSTERING THE MOBILE PHONE POSITIONS BASED ON SUFFIX TREE AND SELF-ORGANIZING MAPS

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	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. 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. (en)
Title	CLUSTERING THE MOBILE PHONE POSITIONS BASED ON SUFFIX TREE AND SELF-ORGANIZING MAPS CLUSTERING THE MOBILE PHONE POSITIONS BASED ON SUFFIX TREE AND SELF-ORGANIZING MAPS (en)
skos:prefLabel	CLUSTERING THE MOBILE PHONE POSITIONS BASED ON SUFFIX TREE AND SELF-ORGANIZING MAPS CLUSTERING THE MOBILE PHONE POSITIONS BASED ON SUFFIX TREE AND SELF-ORGANIZING MAPS (en)
skos:notation	RIV/61989100:27240/12:86084586!RIV13-MSM-27240___
http://linked.open...avai/predkladatel	Fakulta elektrotechniky a informatiky
http://linked.open...avai/riv/aktivita	S
http://linked.open...avai/riv/aktivity	S
http://linked.open...iv/cisloPeriodika	4
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Snášel, Václav Martinovič, Jan Novosád, Tomáš Šebesta, Roman Klement, Petr Scherer, Peter
http://linked.open.../riv/druhVysledku	J - Článek v odborném periodiku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	127491
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/12:86084586
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	clustering; Self-Organizing Maps; suffix tree; GSM; Mobile phone positioning (en)
http://linked.open.../riv/klicoveSlovo	clustering Self-Organizing Maps GSM Mobile phone positioning suffix tree
http://linked.open...odStatuVydavatele	CZ - Česká republika
http://linked.open...ontrolniKodProRIV	[92C0CBBCED7C]
http://linked.open...i/riv/nazevZdroje	Neural Network World
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	6 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...UplatneniVysledku	2012
http://linked.open...v/svazekPeriodika	22
http://linked.open...iv/tvurceVysledku	Martinovič, Jan Snášel, Václav Novosád, Tomáš Klement, Petr Scherer, Peter Šebesta, Roman
http://linked.open...ain/vavai/riv/wos	000309320500005
issn	1210-0552
number of pages	16 (xsd:int)
http://localhost/t...ganizacniJednotka	27240
is http://linked.open...avai/riv/vysledek of	CLUSTERING THE MOBILE PHONE POSITIONS BASED ON SUFFIX TREE AND SELF-ORGANIZING MAPS

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