Semantic Scholar Open Access 2007 2938 sitasi

Multi-Label Classification: An Overview

Grigorios Tsoumakas I. Katakis

Abstrak

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.

Topik & Kata Kunci

Computer Science

Penulis (2)

Grigorios Tsoumakas

I. Katakis

Format Sitasi

APA MLA BibTeX

Tsoumakas, G., Katakis, I. (2007). Multi-Label Classification: An Overview. https://doi.org/10.4018/jdwm.2007070101

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Informasi Jurnal

Tahun Terbit: 2007
Bahasa: en
Total Sitasi: 2938×
Sumber Database: Semantic Scholar
DOI: 10.4018/jdwm.2007070101
Akses: Open Access ✓