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A case study of SVM extension techniques on classification of imbalanced data

A case study of SVM extension techniques on classification of imbalanced data
A case study of SVM extension techniques on classification of imbalanced data
309-314
Lee, K.K.
9fec08f0-7782-4d2e-9313-73ed74fd8d53
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17
Lee, K.K.
9fec08f0-7782-4d2e-9313-73ed74fd8d53
Harris, C.J.
c4fd3763-7b3f-4db1-9ca3-5501080f797a
Gunn, S.R.
306af9b3-a7fa-4381-baf9-5d6a6ec89868
Reed, P.A.S.
8b79d87f-3288-4167-bcfc-c1de4b93ce17

Lee, K.K., Harris, C.J., Gunn, S.R. and Reed, P.A.S. (2001) A case study of SVM extension techniques on classification of imbalanced data. International Conference on Neural Networks and Applications. pp. 309-314 .

Record type: Conference or Workshop Item (Paper)

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More information

Published date: 2001
Additional Information: Address: Puerto de la Cruz, Canary islands, Spain
Venue - Dates: International Conference on Neural Networks and Applications, 2001-01-01
Organisations: Engineering Sciences

Identifiers

Local EPrints ID: 256450
URI: https://eprints.soton.ac.uk/id/eprint/256450
PURE UUID: 6ade194a-cf49-451d-a1f6-40a340293c93
ORCID for P.A.S. Reed: ORCID iD orcid.org/0000-0002-2258-0347

Catalogue record

Date deposited: 27 Mar 2002
Last modified: 20 Jul 2019 01:21

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Contributors

Author: K.K. Lee
Author: C.J. Harris
Author: S.R. Gunn
Author: P.A.S. Reed ORCID iD

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