Credit Scoring Model based on Kernel Density Estimation and Support Vector Machine for Group Feature Selection.
Xingzhi ZhangZhurong ZhouPublished in: ICACCI (2018)
Keyphrases
- credit scoring
- kernel density estimation
- support vector machine
- feature selection
- support vector machine svm
- logistic regression
- mean shift
- support vector
- multi class
- feature space
- density function
- density estimation
- machine learning
- probability density function
- text categorization
- knn
- probability density
- classification accuracy
- data mining technology
- credit card
- object segmentation
- k nearest neighbor
- naive bayes
- feature vectors
- feature extraction
- dimensionality reduction
- active learning
- data streams
- higher dimensional
- information entropy
- loss function
- association rules
- gaussian mixture model
- model selection
- maximum likelihood
- pattern recognition
- object detection
- data warehouse
- probabilistic model
- data mining