TY - RPRT ID - jf:TUD-KE-2008-04 T1 - Multi-Label Classification with Label Constraints A1 - Park, Sang-Hyeun A1 - Fürnkranz, Johannes Y1 - 2008 IS - TUD-KE-2008-04 T2 - TU Darmstadt, Knowledge Engineering Group UR - /publications/reports/tud-ke-2008-04.pdf N2 - We extend the multi-label classication setting with constraints on labels. This leads to two new machine learning tasks: First, the label constraints must be properly integrated into the classication process to improve its performance and second, we can try to automatically derive useful constraints from data. In this paper, we experiment with two constraint-based correction approaches as post-processing step within the ranking by pairwise comparison (RPC)-framework. In addition, association rule learning is considered for the task of label constraints learning. We report on the current status of our work, together with evaluations on synthetic datasets and two real-world datasets. ER -