A Semisupervised Approach to the Detection and Characterization of Outliers in Categorical Data.
Dino IencoRuggero G. PensaRosa MeoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2017)
Keyphrases
- categorical data
- distance based outlier detection
- cluster analysis
- numerical data
- parameter free
- semi supervised
- numeric data
- outlier detection
- categorical attributes
- detection algorithm
- binary data
- detecting outliers
- attribute values
- data sets
- active learning
- density based clustering
- pattern recognition
- data mining
- correspondence analysis
- missing data
- supervised learning
- knowledge discovery