Detail publikace

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

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

BARTÍK, V.

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"
}