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SMOTE-based ensembles for imbalanced classification problem /

Fattahi, Seyyedali,

SMOTE-based ensembles for imbalanced classification problem / Seyyedali Fattahi. - 338 pages : illustrations ; 30 cm.

Cd yang di sertakan duplikasi kepada tesis bercetak dan tidak boleh dirujuk / dipinjam.

Tesis (Ph.D.) - Universiti Kebangsaan Malaysia, 2016.

References : pages [236]-252.

ISBN: Hadiah

Subjects--Corporate Names:
Universiti Kebangsaan Malaysia--Dissertations.

Subjects--Topical Terms:
Data mining.
Classification rule mining.
Dissertations, Academic--Malaysia.

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SMOTE-based ensembles for imbalanced classification problem /

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