Skip to main content

Table 2 Details of selected articles for missing values handling

From: A survey on missing data in machine learning

Citation

Year

Publisher

Article

Journal/conference/book chapter

[153]

2020

Applied Science

Missing value imputation in stature estimation by learning algorithms using anthropometric data: a comparative study

Multidisciplinary Digital Publishing Institute

[139]

2020

Applied Science

Evaluating machine learning classification using sorted missing percentage technique based on missing data

Multidisciplinary Digital Publishing Institute

[154]

2020

Biometrical Journal

Multiple imputation methods for handling missing values in longitudinal studies with sampling weights: comparison of methods implemented in Stata

Wiley Online Library

[155]

2019

Applied Artificial Intelligence

Comparison of performance of data imputation methods for numeric dataset

Taylor and Francis

[8]

2006

Elsevier

A gentle introduction to imputation of missing values

Journal of clinical epidemiology

[127]

2017

Elsevier

Adjusted weight voting algorithm for random forests in handling missing values

Pattern Recognition

[60]

2017

Elsevier

kNN-IS: an Iterative Spark-based design of the k-Nearest Neighbors classifier for big data

Knowledge-Based Systems

[156]

2021

Elsevier

Ground PM2. 5 prediction using imputed MAIAC AOD with uncertainty quantification

Environmental Pollution

[157]

2021

Elsevier

A neural network approach for traffic prediction and routing with missing data imputation for intelligent transportation system

Expert Systems with Applications

[158]

2021

Elsevier

Handling complex missing data using random forest approach for an air quality monitoring dataset: a case study of Kuwait environmental data (2012 to 2018)

Multidisciplinary Digital Publishing Institute

[159]

2021

Elsevier

HA new method of data missing estimation with FNN-based tensor heterogeneous ensemble learning for internet of vehicle

Neurocomputing

[111]

2006

IEEE

Ensemble based systems in decision making

IEEE Circuits and systems magazine

[160]

2010

IEEE

Missing value estimation for mixed-attribute data sets

IEEE Transactions on Knowledge and Data Engineering

[161]

2014

IEEE

Modeling and optimization for big data analytics:(statistical) learning tools for our era of data deluge

IEEE Signal Processing Magazine

[2]

2014

IEEE

Handling missing data problems with sampling methods

2014 International Conference on Advanced Networking Distributed Systems and Applications

[123]

2018

IEEE

An imputation method for missing data based on an extreme learning machine auto-encoder

IEEE ACCESS

[162]

2018

IEEE

A data imputation model in phasor measurement units based on bagged averaging of multiple linear regression

IEEE ACCESS

[163]

2018

IEEE

Missing network data a comparison of different imputation methods

2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)

[164]

2018

IEEE

MIAEC: missing data imputation based on the evidence chain

IEEE ACCESS

[165]

2018

IEEE

A survey on data imputation techniques: water distribution system as a use case

IEEE ACCESS

[166]

2019

IEEE

Missing values estimation on multivariate dataset: comparison of three type methods approach

International Conference on Information and Communications Technology (ICOIACT)

[122]

2019

IEEE

A novel algorithm for missing data imputation on machine learning

2019 International Conference on Smart Systems and Inventive Technology (ICSSIT)

[167]

2020

IEEE

Approaches to dealing with missing data in railway asset management

IEEE ACCESS

[168]

2020

IEEE

Traffic data imputation and prediction: an efficient realization of deep learning

IEEE ACCESS

[169]

2020

IEEE

Iterative robust semi-supervised missing data imputation

IEEE ACCESS

[170]

2021

IEEE

Missing network data a comparison of different imputation methods Neighborhood-aware autoencoder for missing value imputation

2020 28th European Signal Processing Conference (EUSIPCO)

[171]

2021

IEEE

Hybrid missing value imputation algorithms using fuzzy C-means and vaguely quantified rough set

IEEE Transactions on Fuzzy Systems

[56]

2016

SAGE Publications

Multiple imputation in the presence of high-dimensional data

Statistical Methods in Medical Research

[172]

2020

Sensors

A method for sensor-based activity recognition in missing data scenario

Multidisciplinary Digital Publishing Institute

[31]

2012

Springer

Analysis of missing data

Missing data

[65]

2015

Springer

CKNNI: an improved knn-based missing value handling technique

International Conference on Intelligent Computing

[126]

2015

Springer

Missing data imputation by K nearest neighbours based on grey relational structure and mutual information

Applied Intelligence

[63]

2016

Springer

Nearest neighbor imputation algorithms: a critical evaluation

BMC medical informatics and decision making

[105]

2017

Springer

Multiple imputation and ensemble learning for classification with incomplete data

Intelligent and Evolutionary Systems

[68]

2018

Springer

NS-kNN: a modified k-nearest neighbors approach for imputing metabolomics data

Metabolomics

[136]

2019

Springer

Analysis of interpolation algorithms for the missing values in IoT time series: a case of air quality in Taiwan

The Journal of Super computing

[39]

2020

Springer Open

SICE: an improved missing data imputation technique

Journal of Big Data

[138]

2020

Springer

BEST: a decision tree algorithm that handles missing values

Computational Statistics

[173]

2020

Springer

A new multi-view learning machine with incomplete data

Pattern Analysis and Applications

[140]

2021

Springer

Multistage model for accurate prediction of missing values using imputation methods in heart disease dataset

Innovative Data Communication Technologies and Application

[14]

2021

Springer

A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data

Soft Computing

[174]

2021

Springer

An exploration of online missing value imputation in non-stationary data stream

SN Computer Science

[175]

2021

Springer

Data imputation in wireless sensor network using deep learning techniques

Data Analytics and Management

[176]

2020

Sustainable and Resilient Infrastructure

Handling incomplete and missing data in water network database using imputation methods

Taylor and Francis