Methodically unified procedures for a conditional approach to outlier detection, clustering, and classification.
Piotr KulczyckiKrystian FranusPublished in: Inf. Sci. (2021)
Keyphrases
- outlier detection
- credit card fraud detection
- density estimation
- detecting outliers
- parameter free
- fraud detection
- high dimensional datasets
- knowledge discovery
- detection algorithm
- density ratio estimation
- data mining
- density based clustering
- classification accuracy
- machine learning
- detect outliers
- supervised learning
- support vector machine
- data streams
- training set
- text classification
- cross validation
- feature space
- clustering algorithm
- decision trees
- support vector
- feature extraction
- distance based outlier detection
- clustering method
- feature selection
- outlier mining
- change point detection
- face recognition
- training data
- model selection
- categorical data
- data clustering
- high dimensionality
- k means