A Review of Multi-Label Classification Methods

G. Tsoumakas, I. Katakis, I. Vlahavas, “A Review of Multi-Label Classification Methods”, 2nd ADBIS Workshop on Data Mining and Knowledge Discovery, pp. 99-109, 2006.

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Author(s): Grigorios Tsoumakas, I. Katakis, I. Vlahavas

Appeared In: 2nd ADBIS Workshop on Data Mining and Knowledge Discovery, pp. 99-109, 2006.

Keywords: Multi-Label Classification, Classification.

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Before 2008, Katakis, Tsoumakas, Vlahavas

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 presentation of an undocumented method and the definition of a concept for the quantification of the multi-label nature of a data set.