Web Site Community Analysis Based on Suffix Tree and Clustering Algorithm

Result code in 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>
Alternative codes found
RIV/61989100:27240/11:86084896
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Web Site Community Analysis Based on Suffix Tree and Clustering Algorithm
Original language description
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.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
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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Number of pages
4
Pages from-to
110-113
Publisher name
IEEE Computer Society
Place of publication
Lyon, France
Event location
Lyon, France
Event date
Aug 22, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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