Multi-Label Classification: An Overview

Grigorios Tsoumakas and Ioannis Katakis
Additional contact information
Grigorios Tsoumakas: Aristotle University of Thessaloniki, Greece
Ioannis Katakis: Aristotle University of Thessaloniki, Greece

International Journal of Data Warehousing and Mining (IJDWM), 2007, vol. 3, issue 3, 1-13

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.

Date: 2007
References: Add references at CitEc
Citations: View citations in EconPapers (22)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jdwm.2007070101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdwm00:v:3:y:2007:i:3:p:1-13

Access Statistics for this article

International Journal of Data Warehousing and Mining (IJDWM) is currently edited by Eric Pardede

More articles in International Journal of Data Warehousing and Mining (IJDWM) from IGI Global
Bibliographic data for series maintained by Journal Editor ().