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Multi-Label Classification: An Overview

Multi-Label Classification: An Overview

Grigorios Tsoumakas, Ioannis Katakis
Copyright: © 2009 |Pages: 11
ISBN13: 9781605660585|ISBN10: 1605660582|EISBN13: 9781605660592
DOI: 10.4018/978-1-60566-058-5.ch021
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MLA

Tsoumakas, Grigorios, and Ioannis Katakis. "Multi-Label Classification: An Overview." Database Technologies: Concepts, Methodologies, Tools, and Applications, edited by John Erickson, IGI Global, 2009, pp. 309-319. https://doi.org/10.4018/978-1-60566-058-5.ch021

APA

Tsoumakas, G. & Katakis, I. (2009). Multi-Label Classification: An Overview. In J. Erickson (Ed.), Database Technologies: Concepts, Methodologies, Tools, and Applications (pp. 309-319). IGI Global. https://doi.org/10.4018/978-1-60566-058-5.ch021

Chicago

Tsoumakas, Grigorios, and Ioannis Katakis. "Multi-Label Classification: An Overview." In Database Technologies: Concepts, Methodologies, Tools, and Applications, edited by John Erickson, 309-319. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-058-5.ch021

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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 multi-label 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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