A Study of XML models for data mining : representations, methods, and issues
Contribuinte(s) |
Tagarelli, Andrea |
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Data(s) |
01/11/2011
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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 | |
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 |