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Multi Label Classification: An Overview

, and . International Journal of Data Warehouse 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.

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citeulike:2146554
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