Variable selection by Random Forests using data with missing values.
Alexander HapfelmeierKurt UlmPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- missing values
- missing data
- random forests
- variable selection
- incomplete data
- data analysis
- high dimensional data
- data sets
- database
- test data
- training set
- training data
- random forest
- knowledge discovery
- knn
- data mining techniques
- input data
- genetic programming
- high dimensional
- attribute values
- decision trees
- data mining