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References from A Composite Evaluation Framework for Dimensionality Reduction Methods in Industry 4.0 Data. Local targets link to admitted publications; unresolved targets remain external evidence.
Service innovation and smart analytics for Industry 4.0 and big data environment
10.1016/j.procir.2014.02.001 · 2015 · External reference
Industry 4.0: A survey on technologies, applications and open research issues
2017 · External reference
Digital twin driven prognostics and health management for complex equipment
10.1016/j.cirp.2018.04.055 · 2018 · External reference
An introduction to variable and feature selection
2003 · External reference
A survey on feature selection methods
10.1016/j.compeleceng.2013.11.024 · 2014 · External reference
Visualizing data using t-SNE
2008 · External reference
Dimensionality reduction: A comparative review
2009 · External reference
A survey on feature selection
10.1016/j.procs.2016.07.111 · 2016 · External reference
Wrappers for feature subset selection
10.1016/s0004-3702(97)00043-x · 1997 · External reference
10.1201/9781584888796
10.1201/9781584888796 · External reference
Random forests
10.1023/a:1010933404324 · 2001 · External reference
10.1145/2939672.2939785
10.1145/2939672.2939785 · External reference
Regression shrinkage and selection via the lasso
10.1111/j.2517-6161.1996.tb02080.x · 1996 · External reference
Regularization and variable selection via the Elastic Net
10.1111/j.1467-9868.2005.00503.x · 2005 · External reference
Unresolved reference
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Unresolved reference
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10.1016/b978-0-08-047865-4.50007-7
10.1016/b978-0-08-047865-4.50007-7 · External reference
Partial least-squares regression: A tutorial
10.1016/0003-2670(86)80028-9 · 1986 · External reference
Unresolved reference
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Reducing the dimensionality of data with neural networks
10.1126/science.1127647 · 2006 · External reference
10.21105/joss.00861
10.21105/joss.00861 · External reference
Nonlinear component analysis as a kernel eigenvalue problem
10.1162/089976698300017467 · 1998 · External reference
Survey of multi-objective optimization methods for engineering
10.1007/s00158-003-0368-6 · 2004 · External reference
Approaches to Multi-Objective Feature Selection: A Systematic Literature Review
10.1109/access.2020.3007291 · 2020 · External reference
Feature selection: A data perspective
2017 · External reference
Machine learning in manufacturing: Advantages, challenges, and applications
2016 · External reference
A review of feature selection techniques in bioinformatics
10.1093/bioinformatics/btm344 · 2007 · External reference
Role of feature selection techniques in machine learning: An overview
2020 · External reference
Comparisons of filter, wrapper, and embedded feature selection for rockfall susceptibility prediction and mapping
10.1007/s11069-024-06878-6 · 2025 · External reference
Using mutual information for selecting features in supervised neural net learning
10.1109/72.298224 · 1994 · External reference
Unresolved reference
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Induction of decision trees
10.1023/a:1022643204877 · 1986 · External reference
A review of feature selection methods based on mutual information
10.1007/s00521-013-1368-0 · 2014 · External reference
10.1007/978-1-0716-1418-1
10.1007/978-1-0716-1418-1 · External reference
10.1186/s12859-024-06017-9
10.1186/s12859-024-06017-9 · External reference
A systematic literature review: Recursive feature elimination algorithms
10.33480/jitk.v9i2.5015 · 2024 · External reference
Unresolved reference
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Ridge regression: Biased estimation for nonorthogonal problems
10.1080/00401706.1970.10488634 · 1970 · External reference
10.1007/978-0-387-84858-7
10.1007/978-0-387-84858-7 · External reference
PCA versus LDA
10.1109/34.908974 · 2001 · External reference
10.3390/pr5030035
10.3390/pr5030035 · External reference
Data-mining and analytics in the process industry: The status and challenges
2017 · External reference
Non-linear PCA: A missing data approach
10.1093/bioinformatics/bti634 · 2005 · External reference
A plant-wide industrial process control problem
10.1016/0098-1354(93)80018-i · 1993 · External reference
Principal component analysis: A review and recent developments
10.1098/rsta.2015.0202 · 2016 · External reference
10.3390/app15031457
10.3390/app15031457 · External reference
Fault diagnosis and self-healing for smart manufacturing: A review
10.1007/s10845-023-02165-6 · 2024 · External reference
Data-driven fault diagnosis approaches for industrial equipment: A review
10.1111/exsy.13360 · 2024 · External reference
A roadmap to fault diagnosis of industrial machines via machine learning: A brief review
10.1016/j.measurement.2024.116216 · 2025 · External reference