Multi-Label Classification: An Overview

Grigorios Tsoumakas; Ioannis Katakis

doi:10.4018/978-1-59904-951-9.ch006

Multi-Label Classification: An Overview

Grigorios Tsoumakas
, Ioannis Katakis

Aristotle University of Thessaloniki

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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.

Original language	English
Title of host publication	Data Warehousing and Mining
Subtitle of host publication	Concepts, Methodologies, Tools, and Applications
Publisher	IGI Global
Pages	64-74
Number of pages	11
ISBN (Electronic)	9781599049526
ISBN (Print)	9781599049519
DOIs	https://doi.org/10.4018/978-1-59904-951-9.ch006
Publication status	Published - 1 Jan 2008
Externally published	Yes

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Multi-Label Classification: An Overview

Abstract

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