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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Trending Challenges in Multi Label Classification

Author 1: Raed Alazaidah
Author 2: Farzana Kabir Ahmad

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2016.071017

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 10, 2016.

  • Abstract and Keywords
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Abstract: Multi label classification has become a very important paradigm in the last few years because of the increasing domains that it can be applied to. Many researchers have developed many algorithms to solve the problem of multi label classification. Nerveless, there are still some stuck problems that need to be investigated in depth. The aim of this paper is to provide researchers with a brief introduction to the problem of multi label classification, and introduce some of the most trending challenges.

Keywords: Challenges; Correlations among labels; Multi Label Classification

Raed Alazaidah and Farzana Kabir Ahmad, “Trending Challenges in Multi Label Classification” International Journal of Advanced Computer Science and Applications(IJACSA), 7(10), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071017

@article{Alazaidah2016,
title = {Trending Challenges in Multi Label Classification},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071017},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071017},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {10},
author = {Raed Alazaidah and Farzana Kabir Ahmad}
}


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