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Water quality monitoring based on support vector machine at Putrajaya lake and wetland / Zakirah Binti Mohd Azamli
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Water quality monitoring based on support vector machine at Putrajaya lake and wetland / Zakirah Binti Mohd Azamli

A support vector machine (SVM) model is a machine learning technology. It is used for the proposed to classify the data by recognize the patterns of data. It is by work by train the data of sampling area to predict the water quality of Putrajaya Lake and Wetland based from data of water quality para...

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Bibliographic Details
Main Author: Zakirah, Mohd Azamli
Format: Thesis
Published: 2012
Subjects:
QH301 Biology
Online Access:http://pendeta.um.edu.my/client/default/search/results?qu=Water+quality+monitoring+based+on+support+vector+machine+at+Putrajaya+lake+and+wetland&te=
http://studentsrepo.um.edu.my/3717/4/1._Title_page%2C_abstract%2C_content.pdf
http://studentsrepo.um.edu.my/3717/5/2._Chap_1_%E2%80%93_6.pdf
http://studentsrepo.um.edu.my/3717/6/3._References.pdf
http://studentsrepo.um.edu.my/3717/7/4._Appendices.pdf
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http://pendeta.um.edu.my/client/default/search/results?qu=Water+quality+monitoring+based+on+support+vector+machine+at+Putrajaya+lake+and+wetland&te=
http://studentsrepo.um.edu.my/3717/4/1._Title_page%2C_abstract%2C_content.pdf
http://studentsrepo.um.edu.my/3717/5/2._Chap_1_%E2%80%93_6.pdf
http://studentsrepo.um.edu.my/3717/6/3._References.pdf
http://studentsrepo.um.edu.my/3717/7/4._Appendices.pdf

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