LFL Forecaster: Analysis, Forecasting and Mining Information from Time Series
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA20021UY" target="_blank" >RIV/61988987:17610/19:A20021UY - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8858895" target="_blank" >https://ieeexplore.ieee.org/document/8858895</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/FUZZ-IEEE.2019.8858895" target="_blank" >10.1109/FUZZ-IEEE.2019.8858895</a>
Alternative languages
Result language
angličtina
Original language name
LFL Forecaster: Analysis, Forecasting and Mining Information from Time Series
Original language description
In this paper, we describe the software LFL Forecasterfor analysis, forecasting and mining information fromtime series using special methods of fuzzy modeling. The maintheoretical tools are fuzzy transform and methods of fuzzynatural logic. The software also provides information in sentencesof natural language mined from time series. We demonstratefunctioning of the software on several real time series from thearea of economy and other sectors.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/GA18-13951S" target="_blank" >GA18-13951S: New approaches to financial time series modelling based on soft computing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2019 IEEE International Conference on Fuzzy Systems
ISBN
978-1-5386-1728-1
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
New Orleans
Event location
New Orleans
Event date
Jun 23, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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