Smart time seris prediction
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F13%3AA1301558" target="_blank" >RIV/61988987:17310/13:A1301558 - 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
Smart time seris prediction
Original language description
This article deals with a smart time series prediction based on characteristic patterns recognition. Our goal is to find and recognize important patterns which repeatedly appear in the market history for the purpose of prediction of sub-sequent trader?saction. The pattern recognition approach is based on neural networks. We focus on reliability of recognition made by developed algorithms with optimized patterns which also causes the reduction of the calculation costs
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
angičtina
ISBN
978-3-642-32921-0
ISSN
2194-5357
e-ISSN
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Number of pages
10
Pages from-to
211-220
Publisher name
Springer
Place of publication
Berlin Heidelberg
Event location
Ostrava
Event date
Sep 5, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000312974600022