Recognizing characteristic patterns in distorted data collections

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F13%3A86088268" target="_blank" >RIV/61989100:27740/13:86088268 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Recognizing characteristic patterns in distorted data collections
Original language 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 W
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

Article name in the collection
25th European Modeling and Simulation Symposium, EMSS 2013
ISBN
978-88-97999-22-5
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
238-243
Publisher name
DIME Universit? Di Genova
Place of publication
Genova
Event location
Athény
Event date
Sep 25, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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