An application of Bayesian classification methods in diabetes data

Bibliographic Details
Main Author: Cheng, Wei Kuang
Format: Final Year Project / Dissertation / Thesis
Published: 2017
Subjects:
Online Access:http://eprints.utar.edu.my/2902/
http://eprints.utar.edu.my/2902/1/SC%2D2017%2DCWK%2D1400785.pdf
_version_ 1848885776940531712
author Cheng, Wei Kuang
author_facet Cheng, Wei Kuang
author_sort Cheng, Wei Kuang
building UTAR Institutional Repository
collection Online Access
first_indexed 2025-11-15T19:27:59Z
format Final Year Project / Dissertation / Thesis
id utar-2902
institution Universiti Tunku Abdul Rahman
institution_category Local University
last_indexed 2025-11-15T19:27:59Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling utar-29022018-11-23T05:25:28Z An application of Bayesian classification methods in diabetes data Cheng, Wei Kuang Q Science (General) 2017-08-15 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/2902/1/SC%2D2017%2DCWK%2D1400785.pdf Cheng, Wei Kuang (2017) An application of Bayesian classification methods in diabetes data. Final Year Project, UTAR. http://eprints.utar.edu.my/2902/
spellingShingle Q Science (General)
Cheng, Wei Kuang
An application of Bayesian classification methods in diabetes data
title An application of Bayesian classification methods in diabetes data
title_full An application of Bayesian classification methods in diabetes data
title_fullStr An application of Bayesian classification methods in diabetes data
title_full_unstemmed An application of Bayesian classification methods in diabetes data
title_short An application of Bayesian classification methods in diabetes data
title_sort application of bayesian classification methods in diabetes data
topic Q Science (General)
url http://eprints.utar.edu.my/2902/
http://eprints.utar.edu.my/2902/1/SC%2D2017%2DCWK%2D1400785.pdf