Searching Time Series Based On Pattern Extraction Using Dynamic Time Warping

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F13%3A86088259" target="_blank" >RIV/61989100:27740/13:86088259 - isvavai.cz</a>
Result on the web
<a href="http://www.cs.vsb.cz/dateso/sbornik/dateso13.pdf" target="_blank" >http://www.cs.vsb.cz/dateso/sbornik/dateso13.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Searching Time Series Based On Pattern Extraction Using Dynamic Time Warping
Original language 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 allaxes. 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
Czech name
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Czech description
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Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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