Interpretation of association rules with multi-tier granule mining
Data(s) |
2014
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Resumo |
This study was a step forward to improve the performance for discovering useful knowledge – especially, association rules in this study – in databases. The thesis proposed an approach to use granules instead of patterns to represent knowledge implicitly contained in relational databases; and multi-tier structure to interpret association rules in terms of granules. Association mappings were proposed for the construction of multi-tier structure. With these tools, association rules can be quickly assessed and meaningless association rules can be justified according to the association mappings. The experimental results indicated that the proposed approach is promising. |
Formato |
application/pdf |
Identificador | |
Publicador |
Queensland University of Technology |
Relação |
http://eprints.qut.edu.au/71455/1/Jing_Wu_Thesis.pdf Wu, Jingtong (2014) Interpretation of association rules with multi-tier granule mining. PhD thesis, Queensland University of Technology. |
Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
Palavras-Chave | #Data mining #Association rule mining #Granule mining #Decision rules #Rough sets |
Tipo |
Thesis |