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Modelling of web domain visits by IF-inference system

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F10%3A39882046" target="_blank" >RIV/00216275:25410/10:39882046 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modelling of web domain visits by IF-inference system

  • Original language description

    This paper presents basic notions of web mining and fuzzy inference systems based on the Takagi-Sugeno fuzzy model. On the basis of this fuzzy inference system and IF-sets introduced by K.T. Atanassov novel IF-inference systems can be designed. Thus, anIF-inference system is developed for time series prediction. In the next part of the paper we describe web domain visits prediction by IF-inference systems and the analysis of the results.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    AE - Management, administration and clerical work

  • 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)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2010

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    WSEAS Transactions on Computers

  • ISSN

    1109-2750

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    GR - GREECE

  • Number of pages

    11

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database