Object-to-group probabilistic distance measure for uncertain data classification.
Behnam TavakkolMyong Kee JeongSusan L. AlbinPublished in: Neurocomputing (2017)
Keyphrases
- uncertain data
- distance measure
- uncertain databases
- nearest neighbor classifier
- uncertain objects
- naive bayes classification
- probabilistic xml
- uncertain data streams
- mining frequent itemsets
- probabilistic databases
- classification accuracy
- data streams
- feature vectors
- fisher criterion
- euclidean distance
- frequent patterns
- similarity measure
- decision trees
- machine learning
- distance function
- training samples
- text classification
- knowledge discovery
- feature extraction
- edit distance
- nearest neighbor