Dealing with the task of imbalanced, multidimensional data classification using ensembles of exposers.
Pawel KsieniewiczMichal WozniakPublished in: LIDTA@PKDD/ECML (2017)
Keyphrases
- multidimensional data
- imbalanced data
- decision trees
- pattern recognition
- multidimensional space
- text classification
- multidimensional analysis
- class imbalance
- supervised learning
- data warehouse
- databases
- unsupervised learning
- range queries
- imbalanced datasets
- multidimensional databases
- neural network
- similarity search
- feature vectors
- relational databases
- machine learning
- real world