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Application of mutual information-based sequential feature selection to ISBSG mixed data

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Application of mutual information-based sequential feature selection to ISBSG mixed data

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Fernández-Diego, M.; González-Ladrón-De-Guevara, F. (2018). Application of mutual information-based sequential feature selection to ISBSG mixed data. Software Quality Journal. 26(4):1299-1325. https://doi.org/10.1007/s11219-017-9391-5

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/121378

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Title: Application of mutual information-based sequential feature selection to ISBSG mixed data
Author:
UPV Unit: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Issued date:
Embargo end date: 2019-12-01
Abstract:
[EN] There is still little research work focused on feature selection (FS) techniques including both categorical and continuous features in Software Development Effort Estimation (SDEE) literature. This paper addresses the ...[+]
Subjects: Feature selection , Mutual information , ISBSG , Software development effort estimation , K-nearest neighbor
Copyrigths: Embargado
Source:
Software Quality Journal. (issn: 0963-9314 )
DOI: 10.1007/s11219-017-9391-5
Publisher:
Springer-Verlag
Publisher version: http://doi.org/10.1007/s11219-017-9391-5
Type: Artículo

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