Time Series Prediction of Web Domain Visits by IF-Inference System

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F10%3A39881950" target="_blank" >RIV/00216275:25410/10:39881950 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Time Series Prediction 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

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Czech description

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Type

D - Article in proceedings

CEP classification

AE - Management, administration and clerical work

OECD FORD branch

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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

Publication year

2010

Confidentiality

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

Article name in the collection

Latest Trends on Computers

ISBN

978-960-474-201-1

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

WSEAS Press

Place of publication

Atény

Event location

Corfu

Event date

Jul 23, 2010

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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