Conference paper

BARTÍK Vladimír. Association Based Classification for Relational Data and Its Use in Web Mining. In: 2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings. Nashville: IEEE Computer Society, 2009, pp. 252-258. ISBN 978-1-4244-2765-9.
Publication language:english
Original title:Association Based Classification for Relational Data and Its Use in Web Mining
Title (cs):Klasifikace založená na asociacích pro relační data a její využití v dolování na webu
Pages:252-258
Proceedings:2009 IEEE Symposium on Computational Intelligence and Data Mining Proceedings
Conference:IEEE Symposium on Computational Intelligence and Data Mining 2009
Place:Nashville, US
Year:2009
ISBN:978-1-4244-2765-9
Publisher:IEEE Computer Society
Keywords
web mining, association based classification, discretization, web page segmentation
Annotation
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.
BibTeX:
@INPROCEEDINGS{
   author = {Vladim{\'{i}}r Bart{\'{i}}k},
   title = {Association Based Classification for Relational Data and Its
	Use in Web Mining},
   pages = {252--258},
   booktitle = {2009 IEEE Symposium on Computational Intelligence and Data
	Mining Proceedings},
   year = {2009},
   location = {Nashville, US},
   publisher = {IEEE Computer Society},
   ISBN = {978-1-4244-2765-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=8908}
}

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