SSDP+: A Diverse and More Informative Subgroup Discovery Approach for High Dimensional Data.
Tarcísio LucasRenato VimieiroTeresa Bernarda LudermirPublished in: CEC (2018)
Keyphrases
- high dimensional data
- subgroup discovery
- contrast set mining
- nearest neighbor
- high dimensional
- pattern mining
- low dimensional
- dimensionality reduction
- classification rules
- data sets
- data points
- data analysis
- similarity search
- subspace clustering
- data mining tasks
- inductive logic programming
- interesting patterns
- clustering high dimensional data
- data mining
- complex data
- pattern discovery
- association rule mining
- high dimensional datasets
- machine learning
- information retrieval
- input data
- fraud detection
- high dimensional spaces
- data structure
- k nearest neighbor
- data mining applications
- active learning
- preprocessing
- feature extraction
- learning algorithm
- genetic algorithm
- neural network