Time series prediction of web domain visits by IF-inference system

Authors:
Vladimír Olej;Jana Filipová;Petr Hájek
Affiliations:
Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic;Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic;Institute of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Pardubice, Czech Republic
Venue:
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume I
Year:
2010

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Abstract

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, an IF-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.