State of the art of data mining of tree structured information
Access Status
Open access
Authors
Tan, H.
Hadzic, Fedja
Dillon, Tharam S.
Chang, Elizabeth
Date
2008Type
Journal Article
Metadata
Show full item recordCitation
Tan, Henry and Hadzic, Fedja and Dillon, Tharam and Chang, Elizabeth. 2008. State of the art of data mining of tree structured information. International Journal of Computer Systems Science and Engineering. 23 (4): pp. 255-270.
Source Title
International Journal of Computer Systems Science and Engineering
ISSN
Faculty
Curtin Business School
School of Information Systems
School
Centre for Extended Enterprises and Business Intelligence
Remarks
A link to the Journal website is available at: http://csse.debii.curtin.edu.au/index.php/csse
Collection
Abstract
This paper presents the current state-of-the-art of the existing work in the area of tree mining with association rule mining as the case in point and XML mining as one applicable example. We discuss the increasing adoption of XML as a data exchange and storage medium and the challenges it poses in the area of frequent pattern mining. The main focus is on the elements of association mining, problems of tree enumeration, candidate generation and frequency counting.
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