Generation of rough set (RS) significant reducts and rules for cardiac dataset classification

Bibliographic Details
Main Author: Sulaiman, Noor Suhana
Format: Thesis
Published: 2007
Subjects:
Online Access:http://eprints.utm.my/2583/
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author Sulaiman, Noor Suhana
author_facet Sulaiman, Noor Suhana
author_sort Sulaiman, Noor Suhana
building UTeM Institutional Repository
collection Online Access
first_indexed 2025-11-15T20:41:17Z
format Thesis
id utm-2583
institution Universiti Teknologi Malaysia
institution_category Local University
last_indexed 2025-11-15T20:41:17Z
publishDate 2007
recordtype eprints
repository_type Digital Repository
spelling utm-25832013-11-13T04:40:59Z http://eprints.utm.my/2583/ Generation of rough set (RS) significant reducts and rules for cardiac dataset classification Sulaiman, Noor Suhana QA75 Electronic computers. Computer science 2007 Thesis NonPeerReviewed Sulaiman, Noor Suhana (2007) Generation of rough set (RS) significant reducts and rules for cardiac dataset classification. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information System.
spellingShingle QA75 Electronic computers. Computer science
Sulaiman, Noor Suhana
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
title Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
title_full Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
title_fullStr Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
title_full_unstemmed Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
title_short Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
title_sort generation of rough set (rs) significant reducts and rules for cardiac dataset classification
topic QA75 Electronic computers. Computer science
url http://eprints.utm.my/2583/