Missing data estimation on heart disease using artificial neural network and rough set theory

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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Bibliographic Details
Main Authors: A.F.M., Hani, N.A., Setiawan, P.A., Venkatachalam
Format: Conference or Workshop Item
Published: 2007
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
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

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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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