Result Details

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

BARTÍK, V. Association Based Classification for Relational Data and Its Use in Web Mining. 2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings. Nashville: IEEE Computer Society, 2009. p. 252-258. ISBN: 978-1-4244-2765-9.
Type
conference paper
Language
English
Authors
Bartík Vladimír, Ing., Ph.D., DIFS (FIT)
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.

Keywords

web mining, association based classification, discretization, web page segmentation

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
ISBN
978-1-4244-2765-9
Publisher
IEEE Computer Society
Place
Nashville
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"
}
Projects
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Research groups
Information and Database Systems Research Group (RG IS)
Departments
Department of Information Systems (DIFS)
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