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Mining multi-label data (2010)
by
Grigorios Tsoumakas
,
Ioannis Katakis
,
Ioannis Vlahavas
| Venue: | In Data Mining and Knowledge Discovery Handbook |
| Citations: | 92 - 9 self |
BibTeX
@INPROCEEDINGS{Tsoumakas10miningmulti-label,
author = {Grigorios Tsoumakas and Ioannis Katakis and Ioannis Vlahavas},
title = {Mining multi-label data},
booktitle = {In Data Mining and Knowledge Discovery Handbook},
year = {2010},
pages = {667--685}
}
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Abstract
A large body of research in supervised learning deals with the analysis of singlelabel data, where training examples are associated with a single label λ from a set of disjoint labels L. However, training examples in several application domains are often associated with a set of labels Y ⊆ L. Such data are called multi-label.
