Web Site Community Analysis Based on Suffix Tree and Clustering Algorithm

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F47813059%3A19520%2F11%3A%230001645" target="_blank" >RIV/47813059:19520/11:#0001645 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27240/11:86084896

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Web Site Community Analysis Based on Suffix Tree and Clustering Algorithm

Popis výsledku v původním jazyce

Web site community analysis is one of the most valuable tools which can be used for user segmentation in webmarketing sphere. Various software is available for user behavior analysis or for analysis of user interaction with the web site. However, most ofthem 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 treedata structure.

Název v anglickém jazyce

Web Site Community Analysis Based on Suffix Tree and Clustering Algorithm

Popis výsledku anglicky

Web site community analysis is one of the most valuable tools which can be used for user segmentation in webmarketing sphere. Various software is available for user behavior analysis or for analysis of user interaction with the web site. However, most ofthem 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 treedata structure.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings - 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2011

ISBN

978-0-7695-4513-4

ISSN

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e-ISSN

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Počet stran výsledku

4

Strana od-do

110-113

Název nakladatele

IEEE Computer Society

Místo vydání

Lyon, France

Místo konání akce

Lyon, France

Datum konání akce

22. 8. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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