Conference paper

CHMELAŘ Petr. Mining Association Rules from Texture Databases. In: Proceedings of the 11th Conference STUDENT EEICT 2005. Brno: Faculty of Information Technology BUT, 2005, pp. 253-255. ISBN 80-214-2888-0.
Publication language:czech
Original title:Mining Association Rules from Texture Databases
Title (en):Mining Association Rules from Texture Databases
Pages:253-255
Proceedings:Proceedings of the 11th Conference STUDENT EEICT 2005
Conference:STUDENT EEICT 2005
Place:Brno, CZ
Year:2005
ISBN:80-214-2888-0
Publisher:Faculty of Information Technology BUT
URL:http://www.feec.vutbr.cz/EEICT/EEICT/2005/sbornik/02-Magisterske_projekty/07-Informacni_systemy/04-xchmel04.pdf [PDF]
Keywords
Data mining, association rules, image, texture analysis, transaction, root pixel, item, Apriori, pattern recognition.
Annotation
This paper describes a new approach to database technology, automatic description of image content using data mining algorithms. Textures are characterized as a set of association rules, capturing co-occurrence of major data items, its statistical and structural information.
BibTeX:
@INPROCEEDINGS{
   author = {Petr Chmela{\v{r}}},
   title = {Mining Association Rules from Texture Databases},
   pages = {253--255},
   booktitle = {Proceedings of the 11th Conference STUDENT EEICT 2005},
   year = {2005},
   location = {Brno, CZ},
   publisher = {Faculty of Information Technology BUT},
   ISBN = {80-214-2888-0},
   language = {czech},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7941}
}

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