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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| Format: | Thesis |
| Language: | English |
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Curtin University
2012
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| Online Access: | http://hdl.handle.net/20.500.11937/1643 |