@article{MAKHILLIJSC201712421414,
    title = {A Comparative Analysis Between the three Main Approaches that are being used to
Solve the Problem of Multi Label Classification},
    journal = {International Journal of Soft Computing},
    volume = {12},
    number = {4},
    pages = {218-223},
    year = {2017},
    issn = {1816-9503},
    doi = {ijscomp.2017.218.223},
    url = {https://makhillpublications.co/view-article.php?issn=1816-9503&doi=ijscomp.2017.218.223},
    author = {Mohamad Farhan Mohamad,Farzana Kabir and},
    keywords = {high order,first order,Multi label classification,second order,MLC},
    abstract = {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.}
    }