Handling Incomplete Categorical Data for Supervised Learning.
Been-Chian ChienCheng-Feng LuSteen J. HsuPublished in: IEA/AIE (2006)
Keyphrases
- categorical data
- supervised learning
- cluster analysis
- unsupervised learning
- numerical data
- parameter free
- attribute values
- reinforcement learning
- numeric data
- binary data
- density based clustering
- training data
- learning algorithm
- semi supervised
- correspondence analysis
- incomplete data
- active learning
- training set
- categorical attributes
- missing values
- distance based outlier detection
- hierarchical latent class models
- continuous data
- multivariate time series
- real world
- numerical attributes
- missing data
- em algorithm
- data streams
- decision trees
- data mining