Missing data estimation on heart disease using artificial neural network and rough set theory
The objective of this research is to implement a method for estimating the real missing data in heart disease datasets and to show how it affects the resulting knowledge. Missing data is common problem in Knowledge Discovery from Database (KDD) processes that can lead significant error in extracted...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2007
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Subjects: | |
Online Access: | http://eprints.utp.edu.my/398/1/paper.pdf http://www.scopus.com/inward/record.url?eid=2-s2.0-57949088688&partnerID=40&md5=75bbf75b9828358c3bcaaa97f01b7095 http://eprints.utp.edu.my/398/ |
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Institution: | Universiti Teknologi Petronas |