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Description
  • This chapter provides a survey of some clustering methods relevant to clustering Web elements for better information access. We start with classical methods of cluster analysis that seems to be relevant in approaching the clustering of Web data. Graph Clustering is also described since its methods contribute significantly to clustering Web data. The use of artificial neural networks for clustering has the same motivation. Based on previously presented material, the core of the chapter provides an overview of approaches to clustering in the Web environment. Particularly, we focus on clustering Web search results, in which clustering search engines arrange the search results into groups around a common theme. We conclude with some general considerations concerning the justification of so many clustering algorithms and their application in the Web environment.
  • This chapter provides a survey of some clustering methods relevant to clustering Web elements for better information access. We start with classical methods of cluster analysis that seems to be relevant in approaching the clustering of Web data. Graph Clustering is also described since its methods contribute significantly to clustering Web data. The use of artificial neural networks for clustering has the same motivation. Based on previously presented material, the core of the chapter provides an overview of approaches to clustering in the Web environment. Particularly, we focus on clustering Web search results, in which clustering search engines arrange the search results into groups around a common theme. We conclude with some general considerations concerning the justification of so many clustering algorithms and their application in the Web environment. (en)
Title
  • Web Data Clustering
  • Web Data Clustering (en)
skos:prefLabel
  • Web Data Clustering
  • Web Data Clustering (en)
skos:notation
  • RIV/61989100:27240/09:86081478!RIV12-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419), Z(AV0Z10300504), Z(MSM 113200006), Z(MSM6138439910), Z(MSM6198910027)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 351781
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/09:86081478
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • CATEGORIZATION; SEARCH; RECOGNITION; ALGORITHM; GRAPH-THEORY; FUZZY ARTMAP; SELF-ORGANIZING MAPS; GROWING NEURAL-NETWORK; GENE-EXPRESSION PATTERNS; ADAPTIVE PATTERN-CLASSIFICATION (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [9F43481FA2BB]
http://linked.open...i/riv/mistoVydani
  • HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
http://linked.open...i/riv/nazevZdroje
  • FOUNDATIONS OF COMPUTATIONAL INTELLIGENCE, VOL 4: BIO-INSPIRED DATA MINING
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...v/pocetStranKnihy
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Pokorný, J.
  • Snášel, Václav
  • Husek, D.
  • Rezankova, H.
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • SPRINGER-VERLAG BERLIN
https://schema.org/isbn
  • 978-3-642-01087-3
http://localhost/t...ganizacniJednotka
  • 27240
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