Multi label ranking based on positive pairwise correlations among labels
Joint Authors
al-Azaydah, Raid
Ahmad, Farzanah
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 4 (31 Jul. 2020), pp.440-449, 10 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-07-31
Country of Publication
Jordan
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Multi-Label Classification (MLC) is a general type of classification that has attracted many researchers in the last few years.
Two common approaches are being used to solve the problem of MLC: Problem Transformation Methods (PTMs) and Algorithm Adaptation Methods (AAMs).
This Paper is more interested in the first approach; since it is more general and applicable to any domain.
In specific, this paper aims to meet two objectives.
The first objective is to propose a new multi-label ranking algorithm based on the positive pairwise correlations among labels, while the second objective aims to propose new simple PTMs that are based on labels correlations, and not based on labels frequency as in conventional PTMs.
Experiments showed that the proposed algorithm overcomes the existing methods and algorithms on all evaluation metrics that have been used in the experiments.
Also, the proposed PTMs show a superior performance when compared with the existing PTMs.
American Psychological Association (APA)
al-Azaydah, Raid& Ahmad, Farzanah& Muhsin, Muhammad Farhan Muhammad. 2020. Multi label ranking based on positive pairwise correlations among labels. The International Arab Journal of Information Technology،Vol. 17, no. 4, pp.440-449.
https://search.emarefa.net/detail/BIM-1430870
Modern Language Association (MLA)
Muhsin, Muhammad Farhan Muhammad…[et al.]. Multi label ranking based on positive pairwise correlations among labels. The International Arab Journal of Information Technology Vol. 17, no. 4 (Jul. 2020), pp.440-449.
https://search.emarefa.net/detail/BIM-1430870
American Medical Association (AMA)
al-Azaydah, Raid& Ahmad, Farzanah& Muhsin, Muhammad Farhan Muhammad. Multi label ranking based on positive pairwise correlations among labels. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 4, pp.440-449.
https://search.emarefa.net/detail/BIM-1430870
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 448-449
Record ID
BIM-1430870