A Study of XML models for data mining : representations, methods, and issues


Autoria(s): Kutty, Sangeetha; Nayak, Richi; Tran, Tien
Contribuinte(s)

Tagarelli, Andrea

Data(s)

01/11/2011

Resumo

With the increasing number of XML documents in varied domains, it has become essential to identify ways of finding interesting information from these documents. Data mining techniques were used to derive this interesting information. Mining on XML documents is impacted by its model due to the semi-structured nature of these documents. Hence, in this chapter we present an overview of the various models of XML documents, how these models were used for mining and some of the issues and challenges in these models. In addition, this chapter also provides some insights into the future models of XML documents for effectively capturing the two important features namely structure and content of XML documents for mining.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/47870/

Publicador

IGI Global Publishing

Relação

http://eprints.qut.edu.au/47870/1/Bookchapter-revised-Sangeetha_Kutty_Eprints.pdf

DOI:10.4018/978-1-61350-356-0

Kutty, Sangeetha, Nayak, Richi, & Tran, Tien (2011) A Study of XML models for data mining : representations, methods, and issues. In Tagarelli, Andrea (Ed.) XML Data Mining : Models, Methods, and Applications. IGI Global Publishing, Hershey, PA, pp. 1-28.

Direitos

Copyright 2012 IGI Global Publishing

Fonte

Faculty of Science and Technology; Mathematical Sciences

Palavras-Chave #080400 DATA FORMAT #XML #STRUCTURE #CONTENT #DATA MINING
Tipo

Book Chapter