Dimensionality and data reduction in telecom churn prediction.
Wei-Chao LinChih-Fong TsaiShih-Wen KePublished in: Kybernetes (2014)
Keyphrases
- churn prediction
- data reduction
- high dimensionality
- data mining
- dimensionality reduction
- customer churn
- rule induction
- high dimensional
- random forest
- data compression
- classification rules
- preprocessing
- credit risk
- rough set theory
- feature space
- classification accuracy
- knowledge discovery
- data analysis
- feature selection
- model selection
- rough sets
- singular value decomposition
- image processing
- data points
- decision trees
- microarray
- data quality
- high dimensional data
- genetic programming
- knowledge discovery in databases
- machine learning