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Scalable approach for mining association rules from structured XML data

XML has become the standard for data representation on the Web. This expansion in reputation has prompted the need for a technique to access XML documents. Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presente...

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Main Authors: Abazeed, Ashraf Riad, Mamat, Ali, Sulaiman, Md. Nasir, Ibrahim, Hamidah
Format: Conference or Workshop Item
Language:English
Published: IEEE 2009
Online Access:http://psasir.upm.edu.my/id/eprint/68933/1/Scalable%20approach%20for%20mining%20association%20rules%20from%20structured%20XML%20data.pdf
http://psasir.upm.edu.my/id/eprint/68933/
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spelling my.upm.eprints.689332019-06-12T02:06:22Z http://psasir.upm.edu.my/id/eprint/68933/ Scalable approach for mining association rules from structured XML data Abazeed, Ashraf Riad Mamat, Ali Sulaiman, Md. Nasir Ibrahim, Hamidah XML has become the standard for data representation on the Web. This expansion in reputation has prompted the need for a technique to access XML documents. Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data. IEEE 2009 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/68933/1/Scalable%20approach%20for%20mining%20association%20rules%20from%20structured%20XML%20data.pdf Abazeed, Ashraf Riad and Mamat, Ali and Sulaiman, Md. Nasir and Ibrahim, Hamidah (2009) Scalable approach for mining association rules from structured XML data. In: 2nd Conference on Data Mining and Optimization (DMO 2009), 27-28 Oct. 2009, Selangor, Malaysia. (pp. 5-9). 10.1109/DMO.2009.5341918
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description XML has become the standard for data representation on the Web. This expansion in reputation has prompted the need for a technique to access XML documents. Many techniques have been proposed to tackle the problem of mining XML data we study the various techniques to mine XML data and yet We presented a java based implementation of FLEX algorithm for mining XML data.
format Conference or Workshop Item
author Abazeed, Ashraf Riad
Mamat, Ali
Sulaiman, Md. Nasir
Ibrahim, Hamidah
spellingShingle Abazeed, Ashraf Riad
Mamat, Ali
Sulaiman, Md. Nasir
Ibrahim, Hamidah
Scalable approach for mining association rules from structured XML data
author_facet Abazeed, Ashraf Riad
Mamat, Ali
Sulaiman, Md. Nasir
Ibrahim, Hamidah
author_sort Abazeed, Ashraf Riad
title Scalable approach for mining association rules from structured XML data
title_short Scalable approach for mining association rules from structured XML data
title_full Scalable approach for mining association rules from structured XML data
title_fullStr Scalable approach for mining association rules from structured XML data
title_full_unstemmed Scalable approach for mining association rules from structured XML data
title_sort scalable approach for mining association rules from structured xml data
publisher IEEE
publishDate 2009
url http://psasir.upm.edu.my/id/eprint/68933/1/Scalable%20approach%20for%20mining%20association%20rules%20from%20structured%20XML%20data.pdf
http://psasir.upm.edu.my/id/eprint/68933/
_version_ 1643839349273395200
score 13.18916

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