Unsupervised algorithm for post-processing of roughly segmented categorical time series

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F12%3A86084589" target="_blank" >RIV/61989100:27240/12:86084589 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/12:86084589
Result on the web
<a href="http://dx.doi.org/10.3182/20090210-3-CZ-4002.0031" target="_blank" >http://dx.doi.org/10.3182/20090210-3-CZ-4002.0031</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3182/20090210-3-CZ-4002.0031" target="_blank" >10.3182/20090210-3-CZ-4002.0031</a>

Result language
angličtina
Original language name
Unsupervised algorithm for post-processing of roughly segmented categorical time series
Original language description
Many types of existing collections often contain repeating sequences which could be called as patterns. If these patterns are recognized they can be for instance used in data compression or for prediction. Extraction of these patterns from data collections with components generated in equidistant time and in finite number of levels is now a trivial task. The problem arises for data collections that are subject to different types of distortions in all axes. This paper discusses possibilities of using theVoting Experts algorithm enhanced by the Dynamic Time Warping (DTW) method. This algorithm is used for searching characteristic patterns in collections that are subject to the previously mentioned distortions. By using the Voting Experts high precisioncuts (but with low level of recall) are first created in the collection. These cuts are then processed using the DTW method to increase resulting recall. This algorithm has better quality indicators than the original Voting Experts algori
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)

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
DATESO 2012 : databases, texts, specifications, and objects : proceedings of the Dateso 2012 Workshop : April 18-20, 2012, Zernov, Rovensko pod Troskami
ISBN
978-80-7378-171-2
ISSN
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e-ISSN
—
Number of pages
12
Pages from-to
81-92
Publisher name
MATFYZPRESS
Place of publication
Praha
Event location
Žernov, Semily
Event date
Apr 18, 2012
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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