Přístupnostní navigace
E-application
Search Search Close
Publication detail
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
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" }