Open research directions for multi label learning
Mo’ath Alluwaici, Ahmad Kadri Junoh, Farzana Kabir Ahmad, Mohamad Farhan Mohamad Mohsen, Raed Alazaidah · 2018
Multi Label Learning (MLL) is a very interesting research area that has attracted many researchers in the last few years. MLL consists of three main tasks, where the first task is the Multi Label Classification (MLC), and the second task is the Label Ranking (LR) task. The third task is a generalization of the first two tasks, and called Multi Label Ranking (MLR). This paper aims to introduce the main open research directions in MLL, to help other researches, to consider these open research directions. The open research directions suggested in this paper are based on a wide variety and recent papers in the domain of MLL.