DocumentCode
3076881
Title
An Improved Association Rule Mining Technique for Xml Data Using Xquery and Apriori Algorithm
Author
Porkodi, R. ; Bhuvaneswari, V. ; Rajesh, Ramesh ; Amudha, T.
Author_Institution
Sch. of Comput. Sci.&Eng., Bharathiar Univ., Bharathiar
fYear
2009
fDate
6-7 March 2009
Firstpage
1510
Lastpage
1514
Abstract
The usage of XML data in the World Wide Web and elsewhere as a standard for the exchange of data and to represent semi structured data tends to develop the various tools and techniques to perform various data mining operations on XML documents and XML repositories. In recent years, several encouraging methods have been identified and developed for mining XML data. In this paper, we present an improved framework for mining association rules from XML data using XQUERY and . NET based implementation of Apriori algorithm.
Keywords
Internet; XML; data mining; World Wide Web; XML data; XML documents; XML repositories; Xquery; apriori algorithm; association rule mining; data exchange; eXtensible Markup Language; semi structured data; Association rules; Computer science; Data engineering; Data mining; Database languages; History; Standards development; Technology management; Web sites; XML; Apriori; Association Rule mining; XML data; XQuery;
fLanguage
English
Publisher
ieee
Conference_Titel
Advance Computing Conference, 2009. IACC 2009. IEEE International
Conference_Location
Patiala
Print_ISBN
978-1-4244-2927-1
Electronic_ISBN
978-1-4244-2928-8
Type
conf
DOI
10.1109/IADCC.2009.4809242
Filename
4809242
Link To Document