Faculty of Information Technology, BUT

Publication Details

Association Based Classification for Relational Data and Its Use in Web Mining

BARTÍK Vladimír. Association Based Classification for Relational Data and Its Use in Web Mining. In: 2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings. Nashville: IEEE Computer Society, 2009, pp. 252-258. ISBN 978-1-4244-2765-9.
Czech title
Klasifikace založená na asociacích pro relační data a její využití v dolování na webu
Type
conference paper
Language
english
Authors
Keywords
web mining, association based classification, discretization, web page segmentation
Abstract
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.
Published
2009
Pages
252-258
Proceedings
2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings
Conference
IEEE Symposium on Computational Intelligence and Data Mining 2009, Nashville, Tennessee, US
ISBN
978-1-4244-2765-9
Publisher
IEEE Computer Society
Place
Nashville, US
BibTeX
@INPROCEEDINGS{FITPUB8908,
   author = "Vladim\'{i}r Bart\'{i}k",
   title = "Association Based Classification for Relational Data and Its Use in Web Mining",
   pages = "252--258",
   booktitle = "2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings",
   year = 2009,
   location = "Nashville, US",
   publisher = "IEEE Computer Society",
   ISBN = "978-1-4244-2765-9",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/8908"
}
Back to top