Time series support vector regression models with missing data treatments for water level prediction

Rise in water level is an important issue because it can be used as an indicator for flood alert. The water level of a river is dependent upon variables such as the month, volume of rainfall, temperature, relative humidity and surface wind. The main purpose of this research is to find a suitable met...

書誌詳細
第一著者:	Ibrahim, Noraini
フォーマット:	学位論文
言語:	英語
出版事項:	2014
主題:	QA75 Electronic computers. Computer science
オンライン･アクセス:	http://eprints.utm.my/48022/25/NorainiIbrahimMFC2014.pdf

類似資料

Time series support vector regression models with missing data treatments for water lavel prediction
著者:: Ibrahim, Noraini
出版事項: (2014)

Finding kernel function for stock market prediction with support vector regression
著者:: Chai, Chon Lung
出版事項: (2006)

Enhanced artificial bee colony-least squares support vector machines algorithm for time series prediction
著者:: Zuriani, Mustaffa
出版事項: (2014)

An enhanced support vector regression -African Buffalo optimisation algorithm for electricity time series forecasting
著者:: Maijama'a, Inusa Sani
出版事項: (2023)

Treatment of hydrological missing data : filling the missing gaps
著者:: Tang, Weng Yin
出版事項: (1994)

The enhanced group method of data handling models for time series forecasting
著者:: Samsudin, Ruhaidah
出版事項: (2012)

Combine holts winter and support vector machines in forecasting time serie
著者:: Alfa, Mohammed Salisu
出版事項: (2013)

Combine holts winter and support vector machines in forecasting time series
著者:: Salisu, Alfa Mohammed
出版事項: (2013)

Robust Random Regression Imputation method for missing data in the presence of outliers
著者:: John, Ahamefule Happy
出版事項: (2013)

Identification of time series components using break for time series components (bftsc) and group for time series components (gftsc) techniques
著者:: Oloruntoba, Ajare Emmanuel
出版事項: (2022)

New bio-inspired barnacle optimizers based least-square support vector machine for time-series prediction of pandemic outbreaks
著者:: Marzia, Ahmed
出版事項: (2024)

Enhanced k-nearest neighbours classification performance based on segmentation and imputation of missing data
著者:: Saeed, Soobia
出版事項: (2022)

Enzyme sub-functional class prediction using multibiological knowledge feature respresentation and twin support vector machine
著者:: Guramad Singh, Sharon Kaur
出版事項: (2013)

Fake review detection using time series
著者:: Tavakoli, Mohammadali
出版事項: (2014)

Combining group method of data handling models using artificial bee colony algorithm for time series forecasting
著者:: Yahya, Nurhaziyatul Adawiyah
出版事項: (2019)

The Impact of Missing Value Methods and Normalization Techniques on the Performance of Data Mining Models
著者:: Munirah, Yahya
出版事項: (2011)

Email categorization using support vector machine
著者:: Mohd. Daud, Mariah
出版事項: (2004)

Robust diagnostics and parameter estimation methods in linear and nonlinear regression based on nu support vector regression for high dimensional data
著者:: Rashid, Al-Dulaimi Abdullah Mohammed
出版事項: (2022)

Hybridization of nonlinear and linear models for time series forecasting
著者:: Salleh@Sallehuddin, Roselina
出版事項: (2010)

Application of EM algorithm on missing categorical data analysis
著者:: Hasan, Noraini
出版事項: (2009)

Support vector machine and its applications for linear and nonlinear regression in the presence of outliers of high dimensional data
著者:: Sleabi, Waleed Dhhan
出版事項: (2016)

The comparative forecast performance of univariate and multivariate model: an application to time series forecasting
著者:: Sallehuddin, Roselina, 等
出版事項: (2009)

Time series modeling and designing of artifical neural network (ANN) for revenue forecasting
著者:: Mohd. Yusof, Norfadzlia
出版事項: (2005)

Time series modeling of water level at Sulaiman Station, Klang River, Malaysia
著者:: Galavi, Hadi
出版事項: (2010)

Back propagation neural network and non-linear regression models for dengue outbreak prediction
著者:: Husin, Nor Azura
出版事項: (2008)

Empirical Comparison of Techniques for Handling Missing Values
著者:: Tikla, Salleh Mansour Mohamed
出版事項: (2006)

Parliamentary response preparation support mechanism at the ministry level : Ministry of Energy, Water and Communications (MEWC
著者:: Mustafa, Normas Norhayati
出版事項: (2007)

Investigating the Impact of Different Representations of Data on Neural Network and Regression
著者:: Fallah, Ehab A. Omer El
出版事項: (2008)

Grey relational analysis feature selection for cancer classification using support vector machine
著者:: Sy. Ahmad Ubaidillah, Sharifah Hafizah
出版事項: (2014)

Arabic language script and encoding identification with support vector machines and rough set theory
著者:: Mohamed Sidya, Mohamed Ould
出版事項: (2007)

Smooth support vector regression (SSVR) modelling of self-compacting concrete properties
著者:: Hadiwidodo, Yoyok Setyo
出版事項: (2013)

A public transport travel time prediction using least squares support vector machine
著者:: Sadat Zadeh, Seyed Mojtaba Tafaghod
出版事項: (2013)

An efficient real-time terrain data organization and visualization algorithm based on enhanced triangle-based level of detail technique
著者:: Zamri, Muhamad Najib
出版事項: (2006)

Sequence comparison latent semantic analysis and support vector machine to detect remote protein homology
著者:: Ismail, Surayati
出版事項: (2010)

EEG-based emotion classification using wavelet based features and support vector machine classifier
著者:: M. Razali, Normasliza
出版事項: (2015)

Predictive inference with copulas for bivariate data
著者:: Noryanti, Muhammad
出版事項: (2016)

Identifying cancer gene subtypes from gene expression by co-clustering algorithm and support vector machine
著者:: Machap, Logenthiran
出版事項: (2021)

Outlier detection in wireless sensor network based on time series approach
著者:: Safaei, Mahmood
出版事項: (2019)

Improved scheme of e-mail spam classification using meta-heuristics feature selection and support vector machine
著者:: Elssied Hamed, Nadir Omer Fadl
出版事項: (2015)

Improving Time Series Models Prediction Based On Empirical Mode Decomposition Using Stock Market Data
著者:: Hossain, Mohammad Raquibul
出版事項: (2021)