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Cluster, SOM and NMF Analyses of Web Patterns
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SYSNO ASEP 0328995 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Cluster, SOM and NMF Analyses of Web Patterns Title Klastrová, SOM a NMF analýza webových zdrojů Author(s) Řezanková, H. (CZ)
Húsek, Dušan (UIVT-O) RID, SAI, ORCID
Snášel, V. (CZ)
Kudělka, M. (CZ)
Lehečka, O. (CZ)Source Title Next Generation Web Services Practices. - Los Alamitos : IEEE Computer Society, 2009 / Abraham A. ; Húsek D. ; Snášel V. - ISBN 978-0-7695-3821-1 Pages s. 9-16 Number of pages 8 s. Action NWeSP 2009. International Conference on Next Generation Web Services Practices /5./ Event date 09.11.2009-11.09.2009 VEvent location Prague Country CZ - Czech Republic Event type WRD Language eng - English Country US - United States Keywords Web page ; web pattern ; cluster analysis ; SOM ; NMF Subject RIV IN - Informatics, Computer Science R&D Projects GA205/09/1079 GA ČR - Czech Science Foundation (CSF) 1M0567 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) CEZ AV0Z10300504 - UIVT-O (2005-2011) UT WOS 000290702700002 EID SCOPUS 77951452421 DOI 10.1109/NWeSP.2009.11 Annotation This paper focuses on web pages clustering as a tool for typical Web patterns searching and using. Traditional methods of cluster analysis, self-organizing map and nonnegative matrix factorization were applied. Web pages on products sale and automatically detected Web patterns were used as a testing data. The application of GD-CLS (gradient descent constrained least squares) which combines some of the best features of other methods was evaluated as the best solution. Workplace Institute of Computer Science Contact Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800 Year of Publishing 2010
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