Publication detail

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

BARTÍK, V.

Original Title

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

Type

article in a collection out of WoS and Scopus

Language

English

Original 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

Authors

BARTÍK, V.

RIV year

2009

Released

7. 4. 2009

Publisher

IEEE Computer Society

Location

Nashville

ISBN

978-1-4244-2765-9

Book

2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings

Pages from

252

Pages to

258

Pages count

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"
}