G. Tsoumakas, and I. Katakis. International Journal of Data Warehousing and Mining, 3 (3):
1--13(2007)
Abstract
Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper 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.
%0 Journal Article
%1 Tsoumakas2007
%A Tsoumakas, G.
%A Katakis, I.
%D 2007
%E Taniar, David
%J International Journal of Data Warehousing and Mining
%K all classification multilabel one overview vs überblick übersicht
%N 3
%P 1--13
%T Multi Label Classification: An Overview
%U http://mlkd.csd.auth.gr/publication_details.asp?publicationID=219
%V 3
%X Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper 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.
@article{Tsoumakas2007,
abstract = {Nowadays, multi-label classification methods are increasingly required by modern applications, such as protein function classification, music categorization and semantic scene classification. This paper 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.},
added-at = {2008-03-29T06:05:00.000+0100},
author = {Tsoumakas, G. and Katakis, I.},
biburl = {https://www.bibsonomy.org/bibtex/2c8a5440248ed5a6821ba2fd7dc3eef21/jil},
citeulike-article-id = {1959068},
editor = {Taniar, David},
interhash = {f8e6c4b6b3df7461d070a1a9cc1d15c1},
intrahash = {c8a5440248ed5a6821ba2fd7dc3eef21},
journal = {International Journal of Data Warehousing and Mining},
keywords = {all classification multilabel one overview vs überblick übersicht},
number = 3,
pages = {1--13},
priority = {0},
timestamp = {2013-11-23T20:11:51.000+0100},
title = {Multi Label Classification: An Overview},
url = {http://mlkd.csd.auth.gr/publication_details.asp?publicationID=219},
volume = 3,
year = 2007
}