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BARTÍK, V.
Originální název
Association Based Classification for Relational Data and Its Use in Web Mining
Typ
článek ve sborníku mimo WoS a Scopus
Jazyk
angličtina
Originální abstrakt
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 the data 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.
Klíčová slova
web mining, association based classification, discretization, web page segmentation
Autoři
Rok RIV
2009
Vydáno
7. 4. 2009
Nakladatel
IEEE Computer Society
Místo
Nashville
ISBN
978-1-4244-2765-9
Kniha
2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings
Strany od
252
Strany do
258
Strany počet
7
BibTex
@inproceedings{BUT30203, author="Vladimír {Bartík}", title="Association Based Classification for Relational Data and Its Use in Web Mining", booktitle="2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings", year="2009", pages="252--258", publisher="IEEE Computer Society", address="Nashville", isbn="978-1-4244-2765-9" }