About: Searching Time Series Based On Pattern Extraction Using Dynamic Time Warping

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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)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.cs.vsb.cz/dateso/sbornik/dateso13.pdf
Description	Many types of data collections processed by time series ana- lysis often contain repeating similar episodes (patterns). If these patterns are recognized, then they may be used for instance in data compression, for prediction or for indexing large collections. Extraction of these patterns from data collections with components generated in equidistant time and in nite number of levels is now a trivial task. The problem arises for data collections that are a subject to di erent types of distortions in all axes. In this type of collections, the found similar episodes do not have to be exactly the same; they can di er in time, shape or amplitude. In these cases, it is necessary to pick the suitable one from each group of similar episodes and to declare it as a representative member of the whole group. This paper discusses the possibilities of using the Dynamic Time Warping (DTW) method for deriving the representative member of a group of similar episodes that are subjects to the previously mentioned distortions. The paper is also focused on providing a suitable mechanism for more e ective searching of distorted time series. Many types of data collections processed by time series ana- lysis often contain repeating similar episodes (patterns). If these patterns are recognized, then they may be used for instance in data compression, for prediction or for indexing large collections. Extraction of these patterns from data collections with components generated in equidistant time and in nite number of levels is now a trivial task. The problem arises for data collections that are a subject to di erent types of distortions in all axes. In this type of collections, the found similar episodes do not have to be exactly the same; they can di er in time, shape or amplitude. In these cases, it is necessary to pick the suitable one from each group of similar episodes and to declare it as a representative member of the whole group. This paper discusses the possibilities of using the Dynamic Time Warping (DTW) method for deriving the representative member of a group of similar episodes that are subjects to the previously mentioned distortions. The paper is also focused on providing a suitable mechanism for more e ective searching of distorted time series. (en)
Title	Searching Time Series Based On Pattern Extraction Using Dynamic Time Warping Searching Time Series Based On Pattern Extraction Using Dynamic Time Warping (en)
skos:prefLabel	Searching Time Series Based On Pattern Extraction Using Dynamic Time Warping Searching Time Series Based On Pattern Extraction Using Dynamic Time Warping (en)
skos:notation	RIV/61989100:27740/13:86088259!RIV14-MSM-27740___
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Kocyan, Tomáš Martinovič, Jan
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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 / IT4Innovations
http://linked.open...dnocenehoVysledku	104332
http://linked.open...ai/riv/idVysledku	RIV/61989100:27740/13:86088259
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Pattern Mining; Time Series; Dynamic Time Warping (en)
http://linked.open.../riv/klicoveSlovo	Pattern Mining Time Series Dynamic Time Warping
http://linked.open...ontrolniKodProRIV	[2FC21AF88C36]
http://linked.open...v/mistoKonaniAkce	Písek
http://linked.open...i/riv/mistoVydani	Aachen
http://linked.open...i/riv/nazevZdroje	CEUR Workshop Proceedings. Volume 971
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	IT4Innovations Centre of Excellence
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Dráždilová, Pavla Kocyan, Tomáš Martinovič, Jan Slaninová, Kateřina
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2013-04-17 (xsd:date)
issn	1613-0073
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	ceur-ws.org
https://schema.org/isbn	978-80-248-2968-5
http://localhost/t...ganizacniJednotka	27740

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