Linguistic approach to time series analysis and forecasts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F10%3AA1100YHN" target="_blank" >RIV/61988987:17610/10:A1100YHN - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Linguistic approach to time series analysis and forecasts
Original language description
Linguistic approach of time series analysis is suggested. It adopts aspects of the decomposition and autoregression. The linguistic, i.e., interpretable and transparent, nature of the approach is emphasized. Precision of the suggested approach is demonstrated on real time series.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1M0572" target="_blank" >1M0572: Data, algorithms, decision making</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proc. of FUZZ-IEEE 2010
ISBN
978-1-4244-6920-8
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
IEEE
Place of publication
Barcelona
Event location
Barcelona
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000287453601135