Anytime Subgroup Discovery in High Dimensional Numerical Data.
Romain MathonatDiana NurbakovaJean-François BoulicautMehdi KaytouePublished in: DSAA (2021)
Keyphrases
- numerical data
- subgroup discovery
- high dimensional
- numerical attributes
- contrast set mining
- rule learning
- pattern mining
- categorical data
- emerging patterns
- classification rules
- data sets
- similarity search
- pattern discovery
- interesting patterns
- inductive logic programming
- data mining
- sparse data
- high dimensional data
- multi dimensional
- dimensionality reduction
- nearest neighbor
- rule discovery
- data mining tasks
- continuous attributes
- data points
- database
- feature space
- knn
- fraud detection
- cluster analysis