DocumentCode :
2516702
Title :
Scalable approach for mining association rules from structured XML data
Author :
Abazeed, Ashraf ; Mamat, Ali ; Sulaiman, Md Nasir ; Ibrahim, Hamidah
Author_Institution :
Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang, Malaysia
fYear :
2009
fDate :
27-28 Oct. 2009
Firstpage :
5
Lastpage :
9
Abstract :
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.
Keywords :
Internet; XML; data mining; FLEX algorithm; Web; XML documents; association rules mining; data representation; structured XML data; Association rules; Computer science; Data mining; Data preprocessing; Database languages; Information technology; Itemsets; Java; Transaction databases; XML; association rules - XML - Java; data mining;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Mining and Optimization, 2009. DMO '09. 2nd Conference on
Conference_Location :
Kajand
Print_ISBN :
978-1-4244-4944-6
Type :
conf
DOI :
10.1109/DMO.2009.5341918
Filename :
5341918
Link To Document :
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