Using Genetic Algorithms for Web Usage Mining

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F09%3A00144595" target="_blank" >RIV/62156489:43110/09:00144595 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using Genetic Algorithms for Web Usage Mining
Original language description
The article proposes a new method suitable for advanced analysis of web portal visits. This is part of retrieving information and knowledge from web usage data (web usage mining). Such information is necessary in order to gain better insight into visitor's needs and generally consumer behaviour. By leveraging this information a company can optimize the organization of its internet presentations and offer a better end-user experience. The proposed approach is using Grammatical evolution which is computational method based on genetic algorithms. Grammatical evolution is using a context-free grammar in order to generate the solution in arbitrary reusable form. This allows us to describe visitors' behaviour in different manners depending on desired furtherprocessing. Web server access log files will be used as source data. It is possible to use for example the combination of IP address and user-agent string to identify a single visitor. This task can currently be solved using statistical
Czech name
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Czech description
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Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
ASIS 2009 -- Adaptívne siete v informačných systémoch
ISBN
978-80-8094-593-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
Nitra
Place of publication
Univerzita Konštantína Filozofa v Nitre
Event location
Nitra
Event date
Jan 1, 2009
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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