Scalable approach for mining association rules from structured XML data

Citation

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).

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Computer Science and Information Technology
DOI Number:	https://doi.org/10.1109/DMO.2009.5341918
Publisher:	IEEE
Keywords:	Data mining; Association rules - XML - Java
Depositing User:	Nabilah Mustapa
Date Deposited:	12 Jun 2019 02:06
Last Modified:	12 Jun 2019 02:06
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/DMO.2009.5341918
URI:	http://psasir.upm.edu.my/id/eprint/68933
Statistic Details:	View Download Statistic

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