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Multi-Label Classification: An Overview

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  • Grigorios Tsoumakas

    (Aristotle University of Thessaloniki, Greece)

  • Ioannis Katakis

    (Aristotle University of Thessaloniki, Greece)

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.

Suggested Citation

  • Grigorios Tsoumakas & Ioannis Katakis, 2007. "Multi-Label Classification: An Overview," International Journal of Data Warehousing and Mining (IJDWM), IGI Global Scientific Publishing, vol. 3(3), pages 1-13, July.
    • Handle: RePEc:igg:jdwm00:v:3:y:2007:i:3:p:1-13
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