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
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;
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
DOI :
10.1109/IADCC.2009.4809242
