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Statements

Subject Item
n2:RIV%2F61988987%3A17310%2F11%3AA1201228%21RIV12-MSM-17310___
rdf:type
skos:Concept n17:Vysledek
dcterms:description
This paper deals with the well-known ?no free lunch? phenomenon that, briefly said, claims that there is no time series forecasting method generally better than any other. To solve this problem, one may try to investigate which method is the most promising one for which time series, e.g., based on time series features such as its length, stationary, seasonality, origin etc. An alternative approach consists in combining more time series forecasting methods in order to eliminate the risk of choosing an inappropriate (or even the worst) method. We adopt the second approach and investigate the possible ways of combining distinct methods. This paper deals with the well-known ?no free lunch? phenomenon that, briefly said, claims that there is no time series forecasting method generally better than any other. To solve this problem, one may try to investigate which method is the most promising one for which time series, e.g., based on time series features such as its length, stationary, seasonality, origin etc. An alternative approach consists in combining more time series forecasting methods in order to eliminate the risk of choosing an inappropriate (or even the worst) method. We adopt the second approach and investigate the possible ways of combining distinct methods.
dcterms:title
Combining Techniques in Time Series Forecasting Combining Techniques in Time Series Forecasting
skos:prefLabel
Combining Techniques in Time Series Forecasting Combining Techniques in Time Series Forecasting
skos:notation
RIV/61988987:17310/11:A1201228!RIV12-MSM-17310___
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n3:aktivita
n15:S
n3:aktivity
S
n3:dodaniDat
n14:2012
n3:domaciTvurceVysledku
n12:3252183 n12:6800327 n12:3721620
n3:druhVysledku
n19:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
190900
n3:idVysledku
RIV/61988987:17310/11:A1201228
n3:jazykVysledku
n21:eng
n3:klicovaSlova
Combining techniques; Forecasting methods; SMAPE; Time series; Variability; Weights
n3:klicoveSlovo
n8:Combining%20techniques n8:Variability n8:SMAPE n8:Time%20series n8:Forecasting%20methods n8:Weights
n3:kontrolniKodProRIV
[9B7A8D9CAD69]
n3:mistoKonaniAkce
VUT Brno
n3:mistoVydani
Brno
n3:nazevZdroje
17th International Conference on Soft Computing MENDEL 2011
n3:obor
n7:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n14:2011
n3:tvurceVysledku
Štěpnička, Martin SIKORA, David Vavříčková, Lenka
n3:typAkce
n11:WRD
n3:zahajeniAkce
2011-06-15+02:00
s:numberOfPages
8
n16:hasPublisher
Vysoké učení technické v Brně. Fakulta strojního inženýrství
n4:isbn
978-80-214-4302-0
n20:organizacniJednotka
17310