Publication 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.

Czech title

Klasifikace založená na asociacích pro relační data a její využití v dolování na webu

Type

conference paper

Language

English

Authors

Bartík Vladimír, Ing., Ph.D. (DIFS)

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

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"
}