Outlier Detection and Robust Variable Selection for Least Angle Regression.
Shirin ShahriariSusana FariaA. Manuela GonçalvesStefan Van AelstPublished in: ICCSA (3) (2014)
Keyphrases
- variable selection
- outlier detection
- input variables
- high dimensional
- cross validation
- knowledge discovery
- data streams
- density ratio estimation
- fraud detection
- detection algorithm
- model selection
- dimension reduction
- density estimation
- credit card fraud detection
- data mining
- high dimensional datasets
- high dimensional data
- detecting outliers
- detect outliers
- distance based outlier detection
- leave one out cross validation
- data points
- transaction data
- association rules
- feature selection
- machine learning
- sparsity inducing
- real world
- databases