About: Web site community analysis based on suffix tree and clustering algorithm

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	Web site community analysis is one of the most valuable tools which can be used for user segmentation in webmarketing sphere. The user segmentation is successfully used in campaign analysis, for web/product/service recommendation, or for web usage optimization. This type of analysis can be helpful in web performance analysis, web usability or accessibility as well. Various software is available for user behavior analysis or for analysis of user interaction with the web site. However, most of them have the user segmentation based only on statistical measurement of such information like click-through rates, identification of popular paths and others. In this paper there is presented the web site community analysis oriented to the user segmentation. The analysis is based on the users' similar behavior on the website. For the identification of similar behavioral patterns was proposed the algorithm based on sequential pattern mining method combined with clustering using generalized suffix tree data structure. Web site community analysis is one of the most valuable tools which can be used for user segmentation in webmarketing sphere. The user segmentation is successfully used in campaign analysis, for web/product/service recommendation, or for web usage optimization. This type of analysis can be helpful in web performance analysis, web usability or accessibility as well. Various software is available for user behavior analysis or for analysis of user interaction with the web site. However, most of them have the user segmentation based only on statistical measurement of such information like click-through rates, identification of popular paths and others. In this paper there is presented the web site community analysis oriented to the user segmentation. The analysis is based on the users' similar behavior on the website. For the identification of similar behavioral patterns was proposed the algorithm based on sequential pattern mining method combined with clustering using generalized suffix tree data structure. (en)
Title	Web site community analysis based on suffix tree and clustering algorithm Web site community analysis based on suffix tree and clustering algorithm (en)
skos:prefLabel	Web site community analysis based on suffix tree and clustering algorithm Web site community analysis based on suffix tree and clustering algorithm (en)
skos:notation	RIV/61989100:27240/11:86084896!RIV13-MSM-27240___
http://linked.open...avai/riv/aktivita	I S
http://linked.open...avai/riv/aktivity	I, S
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Snášel, Václav Dráždilová, Pavla Vojáček, Lukáš Martinovič, Jan Novosád, Tomáš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
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	241600
http://linked.open...ai/riv/idVysledku	RIV/61989100:27240/11:86084896
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Web mining; User segmentation; Sequential pattern mining; Community analysis; Behavioral patterns (en)
http://linked.open.../riv/klicoveSlovo	Web mining Behavioral patterns Community analysis Sequential pattern mining User segmentation
http://linked.open...ontrolniKodProRIV	[FEC450753030]
http://linked.open...v/mistoKonaniAkce	Lyon
http://linked.open...i/riv/mistoVydani	Los Alamitos
http://linked.open...i/riv/nazevZdroje	WI-IAT 2011 : the 2011 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	5 (xsd:int)
http://linked.open...cetTvurcuVysledku	6 (xsd:int)
http://linked.open...UplatneniVysledku	2011
http://linked.open...iv/tvurceVysledku	Dráždilová, Pavla Martinovič, Jan Snášel, Václav Slaninová, Kateřina Vojáček, Lukáš Novosád, Tomáš
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2011-08-22 (xsd:date)
number of pages	4 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/WI-IAT.2011.85
http://purl.org/ne...btex#hasPublisher	IEEE Computer Society
https://schema.org/isbn	978-0-7695-4513-4
http://localhost/t...ganizacniJednotka	27240

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