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A genetic-CBR approach for cross-document relationship identification

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Bibliographic Details
Main Author: Jusoh, Awang
Format: Conference or Workshop Item
Published: 2012
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/36328/
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id my.utm.36328
record_format eprints
spelling my.utm.363282014-02-17T07:12:30Z http://eprints.utm.my/id/eprint/36328/ A genetic-CBR approach for cross-document relationship identification Jusoh, Awang QA75 Electronic computers. Computer science 2012 Conference or Workshop Item PeerReviewed Jusoh, Awang (2012) A genetic-CBR approach for cross-document relationship identification. In: 2012 IEEE Power Engineering Conference, 2012.
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
Jusoh, Awang
A genetic-CBR approach for cross-document relationship identification
format Conference or Workshop Item
author Jusoh, Awang
author_facet Jusoh, Awang
author_sort Jusoh, Awang
title A genetic-CBR approach for cross-document relationship identification
title_short A genetic-CBR approach for cross-document relationship identification
title_full A genetic-CBR approach for cross-document relationship identification
title_fullStr A genetic-CBR approach for cross-document relationship identification
title_full_unstemmed A genetic-CBR approach for cross-document relationship identification
title_sort genetic-cbr approach for cross-document relationship identification
publishDate 2012
url http://eprints.utm.my/id/eprint/36328/
_version_ 1643649954049163264
score 13.15806

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