About: Recognizing characteristic patterns in distorted data collections

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Many models and artificial intelligence methods work with the inputs in the form of time series. Generally, success of many of them strongly depends on ability to successfully manage input data, which often contains repeating similar episodes (patterns). If these patterns are recognized, they can be used for instance for indexing, prediction or compression. These operations can also be very useful for improving the already existing model performance and accuracy. Our effort is to provide a robust mechanism for retrieving these characteristic patterns from the collections that are subject of various distortions. The whole process of our pattern recognition consists of receiving the episodes, their clustering into the groups of similar episodes and deriving the representatives of each cluster. These representatives will be used for further indexing collections. This paper is focused on the last step of this process - receiving the representatives of concrete clusters using Dynamic Time Warping method. Many models and artificial intelligence methods work with the inputs in the form of time series. Generally, success of many of them strongly depends on ability to successfully manage input data, which often contains repeating similar episodes (patterns). If these patterns are recognized, they can be used for instance for indexing, prediction or compression. These operations can also be very useful for improving the already existing model performance and accuracy. Our effort is to provide a robust mechanism for retrieving these characteristic patterns from the collections that are subject of various distortions. The whole process of our pattern recognition consists of receiving the episodes, their clustering into the groups of similar episodes and deriving the representatives of each cluster. These representatives will be used for further indexing collections. This paper is focused on the last step of this process - receiving the representatives of concrete clusters using Dynamic Time Warping method. (en)
Title	Recognizing characteristic patterns in distorted data collections Recognizing characteristic patterns in distorted data collections (en)
skos:prefLabel	Recognizing characteristic patterns in distorted data collections Recognizing characteristic patterns in distorted data collections (en)
skos:notation	RIV/61989100:27740/13:86088268!RIV14-TA0-27740___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(TA01021374)
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	101752
http://linked.open...ai/riv/idVysledku	RIV/61989100:27740/13:86088268
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Time series; Pattern recognition; Dynamic time warping; Clustering (en)
http://linked.open.../riv/klicoveSlovo	Pattern recognition Clustering Time series Dynamic time warping
http://linked.open...ontrolniKodProRIV	[DF7A82B82EC9]
http://linked.open...v/mistoKonaniAkce	Athény
http://linked.open...i/riv/mistoVydani	Genova
http://linked.open...i/riv/nazevZdroje	25th European Modeling and Simulation Symposium, EMSS 2013
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 New Technologies for Environmental Protection against the Negative Consequences of Natural Mass Movement
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Dráždilová, Pavla Kocyan, Tomáš Martinovič, Jan Slaninová, Kateřina
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-09-25 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	DIME Università Di Genova
https://schema.org/isbn	978-88-97999-22-5
http://localhost/t...ganizacniJednotka	27740

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