%0 Journal Article %1 citeulike:2146554 %A Tsoumakas, G. %A Katakis, I. %D 2007 %E Taniar, David %I Idea Group Publishing %J International Journal of Data Warehouse and Mining %K classification learning machine ml multi_label survey %N 3 %P 1--13 %T Multi Label Classification: An Overview %V 3 %X 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.

@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.}, added-at = {2009-03-23T21:50:27.000+0100}, author = {Tsoumakas, G. and Katakis, I.}, biburl = {https://www.bibsonomy.org/bibtex/252c3b18481f5146e4c213d609c1143fc/hotho}, citeulike-article-id = {2146554}, description = {CiteULike: Multi Label Classification: An Overview}, editor = {Taniar, David}, interhash = {f8e6c4b6b3df7461d070a1a9cc1d15c1}, intrahash = {52c3b18481f5146e4c213d609c1143fc}, journal = {International Journal of Data Warehouse and Mining}, keywords = {classification learning machine ml multi_label survey}, number = 3, pages = {1--13}, posted-at = {2007-12-19 13:38:29}, priority = {2}, publisher = {Idea Group Publishing}, timestamp = {2009-03-23T21:50:27.000+0100}, title = {Multi Label Classification: An Overview}, volume = 3, year = 2007 }