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Multi-label document classification using class association rules with feature selection based on Pearson correlation coefficient /

AlHutaish, Roiss Mohammed Salem,

Multi-label document classification using class association rules with feature selection based on Pearson correlation coefficient / Roiss Mohammed Salem Alhutaish. - xvi, 176 pages : illustrations ; 30 cm.

Thesis (Ph.D.)-Universiti Kebangsaan Malaysia, 2017.

References : page 154-162.

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

Subjects--Topical Terms:
Correlation (Statistics).
Classification--Mathematical models.
Dissertations, Academic--Malaysia.

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Multi-label document classification using class association rules with feature selection based on Pearson correlation coefficient /

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