Quality and interestingness of association rules derived from data mining of relational and semi-structured data

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Quality and interestingness of association rules derived from data mining of relational and semi-structured data

Deriving useful and interesting rules from a data mining system are essential and important tasks. Problems such as the discovery of random and coincidental patterns or patterns with no significant values, and the generation of a large volume of rules from a database commonly occur. Works on sustain...

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Bibliographic Details
Main Author:	Mohd Shaharanee, Izwan Nizal
Format:	Thesis
Language:	English
Published:	Curtin University 2012
Subjects:	data mining relational data semi-structured data interestingness quality association rules
Online Access:	http://hdl.handle.net/20.500.11937/1643

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