||Author(s): G. Tsoumakas, I. Katakis.
Title: “Multi Label Classification: An Overview”.
Click here to download the PDF (Acrobat Reader) file (17 pages).
Multi-Label Classification, Classfication.
International Journal of Data Warehousing and Mining, David Taniar (Ed.), Idea Group Publishing, 3(3), pp. 1-13, 2007.
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.