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A multi-label correlation-based feature selection method for the classification of neuroblastoma microarray data.

Jungjit, Suwimol and Freitas, Alex A. and Michaelis, M. and Cinatl, J. (2012) A multi-label correlation-based feature selection method for the classification of neuroblastoma microarray data. In: Bichindaritz, Isabelle and Perner, Petra and Ruß, Georg and Schmidt, Rainer, eds. Advances in Data Mining: 12 Industrial Conference ICDM 2012 Workshop Proceedings. IBAI Publishing, pp. 149-157. ISBN 978-3-942952-16-3. (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://www.cs.kent.ac.uk/pubs/2012/3253
Item Type: Book section
Uncontrolled keywords: multi-label classification, data mining, bioinformatics, microarray data
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: S. Jungjit
Date Deposited: 21 Sep 2012 09:49 UTC
Last Modified: 04 Feb 2020 04:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/30805 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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