Dengue Outbreak Prediction Using Least Squares Support Vector Machines (LS-SVM)
In Malaysia, dengue fever (DF) and the potentially fatal dengue hemorrhagic fever (DHF) remain to be a significant public health concern. Higher rainfall and unconcern attitude in the community were some of the factors that contribute to the increase of dengue cases. As number of dengue cases is inc...
Saved in:
Main Author: | Zuriani, Mustaffa |
---|---|
Format: | Thesis |
Language: | eng |
Published: |
2010
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/2375/1/Zuriani_Mustaffa.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
by: Zuriani, Mustaffa
Published: (2014) -
A public transport travel time prediction using least squares support vector machine
by: Sadat Zadeh, Seyed Mojtaba Tafaghod
Published: (2013) -
Molecular database similarity searching using support vector machines (SVM)
by: Mohammadi, Narges
Published: (2009) -
Data Mining Using Support Vector Machines
by: Chamasemani, Fereshteh Falah
Published: (2011) -
Empirical mode decomposition with least square support vector machine model for river flow forecasting
by: Ismail, Shuhaida
Published: (2016)