Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Bartík Vladimír, Ing., Ph.D., UIFS (FIT)
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

Rok
2009
Strany
252–258
Sborník
2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings
Konference
IEEE Symposium on Computational Intelligence and Data Mining 2009
ISBN
978-1-4244-2765-9
Vydavatel
IEEE Computer Society
Místo
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"
}
Projekty
Výzkum informačních technologií z hlediska bezpečnosti, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, zahájení: 2007-01-01, ukončení: 2013-12-31, řešení
Výzkumné skupiny
Výzkumná skupina informačních a databázových systémů (VZ IS)
Pracoviště
Ústav informačních systémů (UIFS)
Nahoru