Multi-label Data Mining:A Survey
Zhanhuai Li · 2013
In traditional single-label data mining,each sample belongs to only one label.However,an real-world object usually associates with more than one attribute.Multi-label data mining is motivated by increasing requirements of mo-dern applications and is widely applied in many fields,such as semantic annotation of images and video,functional geno-mics,music categorization into emotions and directed marketing,which has attracted significant attention from a lot of researchers.This paper systematically introduced technology of multi-label data mining from two aspects:methods and evaluation metrics.Finally,we summarized some problems and challenges in current study and gave prospects of the tendency in this area.