Modelling of Web Domain Visits by Radial Basis Function Neural Networks and Support Vector Machine Regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F11%3A39892222" target="_blank" >RIV/00216275:25410/11:39892222 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-642-23960-1_28" target="_blank" >http://dx.doi.org/10.1007/978-3-642-23960-1_28</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-642-23960-1_28" target="_blank" >10.1007/978-3-642-23960-1_28</a>
Alternative languages
Result language
angličtina
Original language name
Modelling of Web Domain Visits by Radial Basis Function Neural Networks and Support Vector Machine Regression
Original language description
The paper presents basic notions of web mining, radial basis function (RBF) neural networks and epsilon-insensitive support vector machine regression (epsilon-SVR) for the prediction of a time series for the website of the University of Pardubice. The model includes pre-processing time series, design RBF neural networks and epsilon-SVR structures, comparison of the results and time series prediction. The predictions concerning short, intermediate and long time series for various ratios of training and testing data. Prediction of web data can be benfit for a Web server traffic as a complicated complex system.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/SP%2F4I2%2F60%2F07" target="_blank" >SP/4I2/60/07: Indicators for assessment and simulation of interactions among environment, economics and social connections</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IFIP Advances in Information and Communication Technology
ISBN
978-3-642-23959-5
ISSN
1868-4238
e-ISSN
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Number of pages
11
Pages from-to
229-239
Publisher name
Springer
Place of publication
New York
Event location
Corfu
Event date
Sep 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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