Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods.
Xiaoming ZhangLean YuPublished in: Expert Syst. Appl. (2024)
Keyphrases
- learning models
- data mining techniques
- bayesian methods
- data reduction
- learning algorithm
- machine learning algorithms
- noisy data
- benchmark datasets
- data sets
- machine learning methods
- learned models
- statistical methods
- data mining algorithms
- data mining and machine learning
- large scale data sets
- computational cost
- significant improvement
- supervised learning
- discriminative learning
- preprocessing steps
- human experts
- preprocessing
- learning tasks
- dimensionality reduction methods
- feature selection algorithms
- machine learning
- training samples
- supervised learning algorithms
- data sources
- prior knowledge
- data analysis
- reinforcement learning
- huge data sets
- learning process
- incomplete data
- data structure
- sensing modalities
- sampling methods
- supervised and unsupervised learning
- synthetic datasets
- missing values
- missing data
- training data
- decision trees
- classification trees
- classification algorithm
- high dimensional data
- unsupervised learning
- sampled data
- data points
- classification accuracy
- reinforcement learning methods
- training set
- sufficient training data
- feature selection