@article{citeulike:2146554,
  abstract = {Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper introduces the task of multi-label classification, organizes the sparse related literature into a structured presentation and performs comparative experimental results of certain multi-label classification methods. It also contributes the definition of concepts for the quantification of the multi-label nature of a data set.},
  author = {Tsoumakas, G. and Katakis, I.},
  citeulike-article-id = {2146554},
  editor = {Taniar, David},
  interhash = {f8e6c4b6b3df7461d070a1a9cc1d15c1},
  intrahash = {52c3b18481f5146e4c213d609c1143fc},
  journal = {International Journal of Data Warehouse and Mining},
  number = 3,
  pages = {1--13},
  posted-at = {2007-12-19 13:38:29},
  priority = {2},
  publisher = {Idea Group Publishing},
  title = {Multi Label Classification: An Overview},
  volume = 3,
  year = 2007
}