%Aigaion2 BibTeX export from Knowledge Engineering Publications %Saturday 18 December 2021 12:03:13 AM @MASTERSTHESIS{ba:salem, author = {Salem, Borhan Youssef}, month = aug, title = {Extensions of the Separate-and-Conquer Multilabel Rule Learner}, type = {Bachelor Thesis}, year = {2017}, school = {TU Darmstadt, Knowledge Engineering Group}, url = {/lehre/arbeiten/bachelor/2017/Salem_Borhan-Youssef.pdf}, abstract = {Multi-label classification is the task in Machine Learning to assign more than one label to an instance. Opposite to the single-label classification problem, where only a binary or a multi-class can be assigned to an instance, dependencies may exist between different labels in a multi-label problem. These dependencies can be used to improve the classification task and help to better understanding the multi-label dataset. A Separate-and-Conquer Multi-Label Rule Learner was proposed 2016 by Eneldo Loza Menc{\'{\i}}a and Frederik Janssen, that learn multi-label dependency and use them in the classification task. In this work we made some extensions of the proposed algorithm and evaluate them.}, betreuer={ELM} }