Applying Rough Set Theory for Student Clustering on Assessment Datasets

Assessment is the last session of a lecture in collage. There are several components that form the basis of calculations on the scoring end.

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Main Authors: Suhirman, na, Jasni, Mohamad Zain
格式: Conference or Workshop Item
語言:English
出版: 2013
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在線閱讀:http://umpir.ump.edu.my/id/eprint/5562/1/fskkp-2014-25.pdf
http://umpir.ump.edu.my/id/eprint/5562/
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id my.ump.umpir.5562
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spelling my.ump.umpir.55622018-05-22T02:16:06Z http://umpir.ump.edu.my/id/eprint/5562/ Applying Rough Set Theory for Student Clustering on Assessment Datasets Suhirman, na Jasni, Mohamad Zain QA75 Electronic computers. Computer science Assessment is the last session of a lecture in collage. There are several components that form the basis of calculations on the scoring end. 2013 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5562/1/fskkp-2014-25.pdf Suhirman, na and Jasni, Mohamad Zain (2013) Applying Rough Set Theory for Student Clustering on Assessment Datasets. In: The 5th International Conference on Computer Science and Information Technology (CSIT 2013) , 27-28 March 2013 , Amman, Jordan. pp. 1-6.. (Unpublished)
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Suhirman, na
Jasni, Mohamad Zain
Applying Rough Set Theory for Student Clustering on Assessment Datasets
description Assessment is the last session of a lecture in collage. There are several components that form the basis of calculations on the scoring end.
format Conference or Workshop Item
author Suhirman, na
Jasni, Mohamad Zain
author_facet Suhirman, na
Jasni, Mohamad Zain
author_sort Suhirman, na
title Applying Rough Set Theory for Student Clustering on Assessment Datasets
title_short Applying Rough Set Theory for Student Clustering on Assessment Datasets
title_full Applying Rough Set Theory for Student Clustering on Assessment Datasets
title_fullStr Applying Rough Set Theory for Student Clustering on Assessment Datasets
title_full_unstemmed Applying Rough Set Theory for Student Clustering on Assessment Datasets
title_sort applying rough set theory for student clustering on assessment datasets
publishDate 2013
url http://umpir.ump.edu.my/id/eprint/5562/1/fskkp-2014-25.pdf
http://umpir.ump.edu.my/id/eprint/5562/
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score 13.149126