TY  - JOUR
T1  - A Comparative Analysis Between the three Main Approaches that are being used to
Solve the Problem of Multi Label Classification
AU - Mohsen, Mohamad Farhan Mohamad AU - Ahmad, Farzana Kabir AU - Alazaidah, Raed 
JO  - International Journal of Soft Computing
VL  - 12
IS  - 4
SP  - 218
EP  - 223
PY  - 2017
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2017.218.223
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2017.218.223
KW  - high order
KW  -first order
KW  -Multi label classification
KW  -second order
KW  -MLC
AB  - In this study, a comparative analysis between the three main approaches that are being used to solve
the problem of Multi Label Classification (MLC) have been conducted. The goal of doing this comparative
analysis is to evaluate the performance of the three main approaches and decide which approach to use with
respect to the characteristics of the multi label data set. Different from other comparative analysis that have
been conducted in the field of MLC which focused on doing comparative analysis between different methods
or algorithms, this study is focusing on the performance of the three main approaches that these methods and
algorithms are belonging to. These three main approaches are: first, second and high order approaches. Results
show that the high order approach is more suitable for solving the problem of MLC and has a better predictive
performance than the other two approaches.
ER  -