Multi-Label Classification: An Overview

Multi-Label Classification: An Overview

Grigorios Tsoumakas, Ioannis Katakis
Copyright: © 2007 |Pages: 13
DOI: 10.4018/jdwm.2007070101
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Abstract

Multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization, and semantic scene classification. This article introduces the task of multi-label classification, organizes the sparse related literature into a structured presentation and performs comparative experimental results of certain multilabel classification methods. It also contributes the definition of concepts for the quantification of the multi-label nature of a data set.

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