Multi-label learning based on positive label correlations using predictive apriori

Multi-label Learning (MLL) is a general task in data mining that consists of three main tasks: classification, label ranking, and multi-label ranking. MLL is a challengeable task due to the problem of the large search space, which is the result of the existing correlations among the labels. Conseque...

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Bibliographic Details
Main Author:	Al Azaidah, Raed Hasan Saleh
Format:	Thesis
Language:	English English English
Published:	2019
Subjects:	QA Mathematics
Online Access:	https://etd.uum.edu.my/9022/1/s901576_01.pdf https://etd.uum.edu.my/9022/2/s901576_02.pdf https://etd.uum.edu.my/9022/3/s901576_references.docx https://etd.uum.edu.my/9022/
Abstract	Abstract here

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