Multi-label classification: An overview

Grigorios Tsoumakas, Ioannis Katakis

Research output: Contribution to journalArticlepeer-review

1506 Citations (Scopus)

Abstract

Multi-label classification methods are increasingly required by modern applications, such as protein function classfication, 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 languageEnglish
Pages (from-to)1-13
Number of pages13
JournalInternational Journal of Data Warehousing and Mining
Volume3
Issue number3
DOIs
Publication statusPublished - 1 Jan 2007

Keywords

  • Data forecasting
  • Data mining
  • Decision models
  • Knowledge discovery
  • Text database

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