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Time Series Mining by Fuzzy Natural Logic and F-Transform

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F14%3AA1701C0L" target="_blank" >RIV/61988987:17610/14:A1701C0L - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Time Series Mining by Fuzzy Natural Logic and F-Transform

  • Original language description

    In this paper, we discuss application of special soft computing methods, namely the fuzzy natural logic and fuzzy transform, to the problem of mining information from time series. The mined information is formulated in natural language. We discuss the following applications: reduction of size of time series, extraction of its trend-cycle, linguistic characterization of its future course and forecast of future values, finding perceptionally important points, extraction and linguistic evaluation of local trend in a given area, and summarization of characteristics of time series using generalized intermediate quantifiers.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • 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. 48th Hawaii International Conference on System Sciences

  • ISBN

    978-1-4799-7367-5

  • ISSN

    1530-1605

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1493-1502

  • Publisher name

    IEEE Computer Society, CPS

  • Place of publication

    Kauai, USA

  • Event location

    Kauai

  • Event date

    Jan 5, 2015

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article