Association Based Classification for Relational Data and Its Use in Web Mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F09%3APU82588" target="_blank" >RIV/00216305:26230/09:PU82588 - 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
Association Based Classification for Relational Data and Its Use in Web Mining
Original language description
Classification based on mining association rules is a method with good accuracy and human readable classification model. The aim of this paper is to propose modification of the basic association based classification method, which can be used for thedata extracted from web pages. In this paper, the modifications of the method and necessary discretization of numeric attributes will be described. Next, the experiments with various data will be presented, with emphasis on data obtained by extraction and segmentation of web pages.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
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
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings
ISBN
978-1-4244-2765-9
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
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Publisher name
IEEE Computer Society
Place of publication
Nashville
Event location
Nashville, Tennessee
Event date
Mar 30, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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