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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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • 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

  • e-ISSN

  • 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