About: Web Data Clustering

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
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	P Z
http://linked.open...avai/riv/aktivity	P(1ET100300419), Z(AV0Z10300504), Z(MSM 113200006), Z(MSM6138439910), Z(MSM6198910027)
http://linked.open...vai/riv/dodaniDat	2012
http://linked.open...aciTvurceVysledku	Snášel, Václav
http://linked.open.../riv/druhVysledku	C - Kapitola v knize
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / Fakulta elektrotechniky a informatiky
http://linked.open...dnocenehoVysledku	351781
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/09:86081478
http://linked.open...riv/jazykVysledku	eng - angličtina
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	SEARCH ALGORITHM RECOGNITION ADAPTIVE PATTERN-CLASSIFICATION CATEGORIZATION FUZZY ARTMAP GENE-EXPRESSION PATTERNS GRAPH-THEORY GROWING NEURAL-NETWORK SELF-ORGANIZING MAPS
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	IN
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
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http://linked.open...cetTvurcuVysledku	4 (xsd:int)
http://linked.open...vavai/riv/projekt	Intelligent Models, Algorithms, Methods and Tools for the Semantic Web (realization)
http://linked.open...UplatneniVysledku	2009
http://linked.open...iv/tvurceVysledku	Pokorný, J. Snášel, Václav Husek, D. Rezankova, H.
http://linked.open...n/vavai/riv/zamer	Informatika pro informační společnost: modely, algoritmy, aplikace Metody získávání znalostí z dat a jejich využití v ekonomickém rozhodování Výpočetně náročné počítačové simulace a optimalizace http://linked.opendata.cz/resource/domain/vavai/zamer/MSM%20113200006
number of pages	29 (xsd:int)
http://purl.org/ne...btex#hasPublisher	SPRINGER-VERLAG BERLIN
https://schema.org/isbn	978-3-642-01087-3
http://localhost/t...ganizacniJednotka	27240
is http://linked.open...avai/riv/vysledek of	Web Data Clustering Web Data Clustering

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