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Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data

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Main Authors: Dollah, Rozilawati, Aono, Masaki, Ibrahim, Roliana, Othman, Mohd. Shahizan
Format: Book Section
Published: Penerbit UTM 2008
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/18891/
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id my.utm.18891
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spelling my.utm.188912012-01-14T04:38:32Z http://eprints.utm.my/id/eprint/18891/ Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data Dollah, Rozilawati Aono, Masaki Ibrahim, Roliana Othman, Mohd. Shahizan QA75 Electronic computers. Computer science Penerbit UTM 2008 Book Section PeerReviewed Dollah, Rozilawati and Aono, Masaki and Ibrahim, Roliana and Othman, Mohd. Shahizan (2008) Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data. In: Databases and Text Processing Applications. Penerbit UTM , Johor, pp. 23-38. ISBN 978-983-52-0631-3
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Dollah, Rozilawati
Aono, Masaki
Ibrahim, Roliana
Othman, Mohd. Shahizan
Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data
format Book Section
author Dollah, Rozilawati
Aono, Masaki
Ibrahim, Roliana
Othman, Mohd. Shahizan
author_facet Dollah, Rozilawati
Aono, Masaki
Ibrahim, Roliana
Othman, Mohd. Shahizan
author_sort Dollah, Rozilawati
title Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data
title_short Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data
title_full Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data
title_fullStr Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data
title_full_unstemmed Classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data
title_sort classifying biomedical text abstracts for binary and multi-lass support vector machine using balanced and unbalanced data
publisher Penerbit UTM
publishDate 2008
url http://eprints.utm.my/id/eprint/18891/
_version_ 1643647014254149632
score 13.211869

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