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Knowledge analyisis with tree patterns

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Open access
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Date
2008
Type
Conference Paper

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Citation
Hadzic, Fedja and Dillon, Tharam and Chang, Elizabeth. 2008. : Knowledge analyisis with tree patterns, in Sprague, Ralph H. (ed), 41st Hawaii International Conference on Systems and Sciences, 07 Jan 2008, pp. 369-369. Hawaii, USA: IEEE Xplore.
Source Title
Hawaii International Conference on System Sciences, Proceedings of the 41st Annual
Source Conference
41st Hawaii International Conference on Systems and Sciences
DOI
Faculty
Curtin Business School
School
Centre for Extended Enterprises and Business Intelligence
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Copyright 2008 IEEE

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Abstract

Tree-structured knowledge representations are increasingly being used since the relationships between data objects can be represented in a more meaningful way. A number of tree mining algorithms were developed for mining different subtree types using different parameters. At this point in research it would be useful to discuss what kind of sub-problems can be solved within the current tree mining framework. In this paper we provide a general overview of the development in the area of tree mining and discuss motivations and useful application areas for each development. Implications of using different tree mining parameters and constraints are discussed. Such an overview will be particularly useful for those not so familiar with the area of tree mining as it can reveal useful applications within their domain of interest. It gives guidance as to which type of tree mining will be most useful for their particular application.