Temporal Versus Latest Snapshot Web Usage Mining Using Kohonen SOM and Modified Kohonen SOM Based on the Properties of Rough Sets Theory
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F04%3A03100969" target="_blank" >RIV/68407700:21230/04:03100969 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Temporal Versus Latest Snapshot Web Usage Mining Using Kohonen SOM and Modified Kohonen SOM Based on the Properties of Rough Sets Theory
Original language description
Temporal Web usage mining techniques om temporal Web usage data to discover temporal usage patterns, which describe the temporal behavior of users on the Internet Web site, to understand the temporal users behavior during different time slices. This paper introduces the comparison between the latest shapshot Web usage mining using the conventional Kohonen SOM and the modified Kohonen SOM based on the properties of sets theory.
Czech name
Není k dispozici
Czech description
Není k dispozici
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2004
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal on Artificial Intelligence Tools
ISSN
0218-2130
e-ISSN
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Volume of the periodical
13
Issue of the periodical within the volume
3
Country of publishing house
SG - SINGAPORE
Number of pages
23
Pages from-to
569-591
UT code for WoS article
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EID of the result in the Scopus database
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