Flexible propositionalization of continuous attributes in relational data mining

•Our approach can handle thresholds on attributes and on the number of objects.•Tackling numeric attributes with both absolute and relative numbers efficiently.•Selecting the optimal combination of propositionalizer and classifier effectively.•The proposed approach is flexible to be applied over dif...

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Veröffentlicht in:	Expert systems with applications 2015-11, Vol.42 (21), p.7698-7709
Hauptverfasser:	Ahmed, Chowdhury Farhan, Lachiche, Nicolas, Charnay, Clément, El Jelali, Soufiane, Braud, Agnès
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregation Classification Data mining Handles Knowledge discovery Numeric attributes Propositionalization Quantiles Relational data bases Relational data mining Tables Tables (data) Thresholds
Online-Zugang:	Volltext
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