Mining numerical association rules via multi-objective genetic algorithms

Association rule discovery is an ever increasing area of interest in data mining. Finding rules for attributes with numerical values is still a challenging point in the process of association rule discovery. Most of popular methods for association rule mining cannot be applied to the numerical data...

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Veröffentlicht in:	Information sciences Jg. 233; S. 15 - 24
Hauptverfasser:	Minaei-Bidgoli, B., Barmaki, R., Nasiri, M.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.06.2013
Schlagworte:	Comprehensibility Confidence Interestingness Multi-objective genetic algorithms Numerical association rule Rough value Multi-objective genetic algorithms Comprehensibility Rough value Interestingness Numerical association rule Confidence
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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