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Distinct chains for different instances: an effective strategy for multi-label classifier chains

Nascimento da Silva, Pablo and Corrêa Gonçalves, Eduardo and Plastino, Alexandre and Freitas, Alex A. (2014) Distinct chains for different instances: an effective strategy for multi-label classifier chains. In: Machine Learning and Knowledge Discovery in Databases European Conference. Lecture Notes in Computer Science . Springer, Berlin, Germany, pp. 453-468. ISBN 978-3-662-44850-2. E-ISBN 978-3-662-44851-9. (doi:10.1007/978-3-662-44851-9_29) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1007/978-3-662-44851-9_29

Abstract

Multi-label classification (MLC) is a predictive problem in which an object may be associated with multiple labels. One of the most prominent MLC methods is the classifier chains (CC). This method induces q binary classifiers, where q represents the number of labels. Each one is responsible for predicting a specific label. These q classifiers are linked in a chain, such that at classification time each classifier considers the labels predicted by the previous ones as additional information. Although the performance of CC is largely influenced by the chain ordering, the original method uses a random ordering. To cope with this problem, in this paper we propose a novel method which is capable of finding a specific and more effective chain for each new instance to be classified. Experiments have shown that the proposed method obtained, overall, higher predictive accuracies than the well-established binary relevance, CC and CC ensemble methods.

Item Type: Book section
DOI/Identification number: 10.1007/978-3-662-44851-9_29
Uncontrolled keywords: data mining, machine learning, multi-label classification, classifier chains
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Alex Freitas
Date Deposited: 15 Oct 2014 17:17 UTC
Last Modified: 15 Oct 2019 15:03 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/43433 (The current URI for this page, for reference purposes)
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