Multi-Label Classification: An Overview

Multi-Label Classification: An Overview

Grigorios Tsoumakas (Aristotle University of Thessaloniki, Greece) and Ioannis Katakis (Aristotle University of Thessaloniki, Greece)
Copyright: © 2007 |Pages: 13
DOI: 10.4018/jdwm.2007070101
OnDemand PDF Download:
$37.50

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.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 13: 4 Issues (2017): Forthcoming, Available for Pre-Order
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing