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  • This paper deals with data preparation for needs of web mining. The goal is to reduce the width of source data set by use of sophisticated numerical methods. Among these methods are factor analysis, the analysis of factor importance assessment by neural networks and the analysis of singular numbers. These methods are tested on well-known data sets of web documents.
  • This paper deals with data preparation for needs of web mining. The goal is to reduce the width of source data set by use of sophisticated numerical methods. Among these methods are factor analysis, the analysis of factor importance assessment by neural networks and the analysis of singular numbers. These methods are tested on well-known data sets of web documents. (en)
  • This paper deals with data preparation for needs of web mining. The goal is to reduce the width of source data set by use of sophisticated numerical methods. Among these methods are factor analysis, the analysis of factor importance assessment by neural networks and the analysis of singular numbers. These methods are tested on well-known data sets of web documents. (cs)
Title
  • Redukce zdrojových dat pro potřeby web miningu
  • Data reduction for needs of web mining (en)
  • Redukce zdrojových dat pro potřeby web miningu (cs)
skos:prefLabel
  • Redukce zdrojových dat pro potřeby web miningu
  • Data reduction for needs of web mining (en)
  • Redukce zdrojových dat pro potřeby web miningu (cs)
skos:notation
  • RIV/00216275:25410/08:00007313!RIV09-MSM-25410___
http://linked.open...avai/riv/aktivita
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  • S
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  • 391864
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  • RIV/00216275:25410/08:00007313
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  • Data reduction; factor analysis; singular value decomposition; neural networks (en)
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http://linked.open...ontrolniKodProRIV
  • [208C3C38A4F5]
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  • Zlín
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  • Zlín
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  • Mezinárodní Baťova konference pro doktorandy a mladé vědecké pracovníky
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  • Filipová, Jana
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number of pages
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  • Univerzita Tomáše Bati ve Zlíně
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  • 978-80-7318-663-0
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  • 25410
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