Controlling Bias Between Categorical Attributes in Datasets: A Two-Step Optimization Algorithm Leveraging Structural Equation Modeling.
Enrico BarbieratoAndrea PozziDaniele TesseraPublished in: IEEE Access (2023)
Keyphrases
- optimization algorithm
- categorical attributes
- structural equation modeling
- multi objective
- numerical attributes
- data sets
- information loss
- categorical data
- differential evolution
- data points
- optimization method
- attribute values
- cross sectional
- continuous attributes
- missing values
- user satisfaction
- survey data
- high dimensional
- perceived usefulness
- structural model
- support vector
- partial least squares
- machine learning
- cluster analysis
- nearest neighbor
- aggregation operators
- missing data
- decision trees
- information systems