Evaluating A New Adaptive Group Lasso Imputation Technique For Handling Missing Values In Compositional Data
Pie chart is a widely used statistical chart to represent the proportions of various components in a certain entity. The shares of data in a pie chart, also known as compositional data, consist of non-negative values, containing only relative information. However, in many real-life domains, a sub...
| Main Author: | Tian, Ying |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
2024
|
| Subjects: | |
| Online Access: | http://eprints.usm.my/62560/ http://eprints.usm.my/62560/1/TIAN%20YING%20-%20TESIS%20cut.pdf |
Similar Items
Imputation techniques for incomplete load data based on seasonality and
orientation of the missing values
by: Nur Arina Bazilah Kamisan,, et al.
Published: (2020)
by: Nur Arina Bazilah Kamisan,, et al.
Published: (2020)
Missing-values imputation algorithms for microarray gene expression data
by: Moorthy, Kohbalan, et al.
Published: (2019)
by: Moorthy, Kohbalan, et al.
Published: (2019)
An Evaluation of Machine Learning Algorithms for Missing Values Imputation
by: Kohbalan, Moorthy, et al.
Published: (2019)
by: Kohbalan, Moorthy, et al.
Published: (2019)
Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012)
by: Rana, Md. Sohel, et al.
Published: (2012)
ExtraImpute: a novel machine learning method for missing data imputation
by: Alabadla, Mustafa, et al.
Published: (2022)
by: Alabadla, Mustafa, et al.
Published: (2022)
Imputing missing values in modelling the PM10 concentrations
by: Nuradhiathy Abd Razak,, et al.
Published: (2014)
by: Nuradhiathy Abd Razak,, et al.
Published: (2014)
Missing values imputation tool using imputex algorithm
by: Sidi, Fatimah, et al.
Published: (2024)
by: Sidi, Fatimah, et al.
Published: (2024)
Intelligent imputation method for mix data-type missing values to improve data quality
by: Alabadla, Mustafa R. A.
Published: (2024)
by: Alabadla, Mustafa R. A.
Published: (2024)
A comparison of various imputation methods for missing
values in air quality data
by: Nuryazmin Ahmat Zainuri,, et al.
Published: (2015)
by: Nuryazmin Ahmat Zainuri,, et al.
Published: (2015)
Performance analysis of machine learning algorithms for missing value imputation
by: Zainal Abidin, Nadzurah, et al.
Published: (2018)
by: Zainal Abidin, Nadzurah, et al.
Published: (2018)
Systematic review of using machine learning in imputing missing values
by: Alabadla, Mustafa, et al.
Published: (2022)
by: Alabadla, Mustafa, et al.
Published: (2022)
Artificial neural network forecasting performance with missing
value imputations
by: Abd Rahman, Nur Haizum, et al.
Published: (2020)
by: Abd Rahman, Nur Haizum, et al.
Published: (2020)
Systematic review of using machine learning in imputing missing values
by: Alabadla, Mustafa, et al.
Published: (2022)
by: Alabadla, Mustafa, et al.
Published: (2022)
Performance of selected imputation techniques for missing variances in meta-analysis
by: Nik Idris, Nik Ruzni, et al.
Published: (2012)
by: Nik Idris, Nik Ruzni, et al.
Published: (2012)
Performance of selected imputation techniques for missing variances in meta-analysis
by: Nik Idris, Nik Ruzni, et al.
Published: (2013)
by: Nik Idris, Nik Ruzni, et al.
Published: (2013)
Evaluation of missing values imputation methods towards the effectiveness of asset valuation prediction model
by: Mohd Jaya, Mohd Izham, et al.
Published: (2019)
by: Mohd Jaya, Mohd Izham, et al.
Published: (2019)
Determination of the best single imputation algorithm for missing rainfall data treatment
by: Gamil Abdulraqeb Abdullah Saeed,, et al.
Published: (2016)
by: Gamil Abdulraqeb Abdullah Saeed,, et al.
Published: (2016)
Estimation of Missing Rainfall Data Using Spatial Interpolation and Imputation Methods
by: Roslinazairimah, Zakaria, et al.
Published: (2015)
by: Roslinazairimah, Zakaria, et al.
Published: (2015)
Determination of the Best Single Imputation Algorithm for Missing Rainfall Data Treatment
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2016)
by: Saeed, Gamil Abdulraqeb Abdullah, et al.
Published: (2016)
Robust Random Regression Imputation method for missing data in the presence of outliers
by: John, Ahamefule Happy
Published: (2013)
by: John, Ahamefule Happy
Published: (2013)
Filling the gaps: Imputation of missing metrics’ values in a software quality model
by: Kupinski, S., et al.
Published: (2017)
by: Kupinski, S., et al.
Published: (2017)
Trust score measurement method for web donor selection and imputation of missing values
by: Jaya, M. Izham, et al.
Published: (2021)
by: Jaya, M. Izham, et al.
Published: (2021)
A systematic review of recurrent neural network adoption in missing data imputation
by: Nur Aqilah, Fadzil Akbar, et al.
Published: (2025)
by: Nur Aqilah, Fadzil Akbar, et al.
Published: (2025)
Missing variability in meta-analysis : is imputing always good?
by: Nik Idris, Nik Ruzni, et al.
Published: (2006)
by: Nik Idris, Nik Ruzni, et al.
Published: (2006)
Enhanced mechanism to handle missing data of Hadith classifier
by: Aldhlan, Kawther A., et al.
Published: (2011)
by: Aldhlan, Kawther A., et al.
Published: (2011)
An improved imputation method based on fuzzy c-means and particle swarm optimization for missing data
by: Samat, Nurul Ashikin
Published: (2017)
by: Samat, Nurul Ashikin
Published: (2017)
Interval estimation of the concentration parameter and missing value imputation in the von mises distribution / Nor Hafizah Moslim
by: Nor Hafizah , Moslim
Published: (2022)
by: Nor Hafizah , Moslim
Published: (2022)
Cold deck missing value imputation with a trust-based selection method of multiple web donors
by: Mohd Jaya, Mohd Izham
Published: (2018)
by: Mohd Jaya, Mohd Izham
Published: (2018)
Missing Value Imputation Improves Mortality Risk Prediction Following Cardiac Surgery: An Investigation of an Australian Patient Cohort
by: Karim, M., et al.
Published: (2015)
by: Karim, M., et al.
Published: (2015)
The effects of imputing the missing standard deviations on the standard error of meta analysis estimates
by: Nik Idris, Nik Ruzni, et al.
Published: (2009)
by: Nik Idris, Nik Ruzni, et al.
Published: (2009)
A case study on the effect of imputing the missing variability measures in meta analysis
by: Nik Idris, Nik Ruzni
Published: (2007)
by: Nik Idris, Nik Ruzni
Published: (2007)
River flow and stage estimation with missing observation data using Multi Imputation Particle Filter (MIPF) method
by: Ismail, Z. H., et al.
Published: (2020)
by: Ismail, Z. H., et al.
Published: (2020)
Predicting stillbirth using LASSO with structured penalties
by: Whitney, Emily, et al.
Published: (2019)
by: Whitney, Emily, et al.
Published: (2019)
Addressing triggering post zancolli lasso procedure
by: Mohd Zaim MR,, et al.
Published: (2018)
by: Mohd Zaim MR,, et al.
Published: (2018)
LASSO Regression in Consumer Price Index Malaysia
by: Pillaya, Khuneswari Gopal, et al.
Published: (2021)
by: Pillaya, Khuneswari Gopal, et al.
Published: (2021)
Parametric model based on imputations techniques for partly
interval censored data
by: Zyoud, Abdallah, et al.
Published: (2017)
by: Zyoud, Abdallah, et al.
Published: (2017)
Development of an imputation technique - INI for software metric database with incomplete data
by: Wasito, Ito, et al.
Published: (2007)
by: Wasito, Ito, et al.
Published: (2007)
Model-building with multiply imputed data
by: Pillay, Khuneswari Gopal, et al.
Published: (2018)
by: Pillay, Khuneswari Gopal, et al.
Published: (2018)
A novel approach for handling missing data to enhance network intrusion detection system
by: Tahir, Mahjabeen, et al.
Published: (2025)
by: Tahir, Mahjabeen, et al.
Published: (2025)
The performance of multiple imputations for different number of imputations
by: Ser, Gazel, et al.
Published: (2016)
by: Ser, Gazel, et al.
Published: (2016)
Similar Items
-
Imputation techniques for incomplete load data based on seasonality and
orientation of the missing values
by: Nur Arina Bazilah Kamisan,, et al.
Published: (2020) -
Missing-values imputation algorithms for microarray gene expression data
by: Moorthy, Kohbalan, et al.
Published: (2019) -
An Evaluation of Machine Learning Algorithms for Missing Values Imputation
by: Kohbalan, Moorthy, et al.
Published: (2019) -
Robust regression imputation for analyzing missing data
by: Rana, Md. Sohel, et al.
Published: (2012) -
ExtraImpute: a novel machine learning method for missing data imputation
by: Alabadla, Mustafa, et al.
Published: (2022)