Investigation of the Impact of Missing Value Imputation Methods on the k-NN Classification Accuracy.
Tomasz OrczykPiotr PorwikPublished in: ICCCI (2) (2015)
Keyphrases
- knn
- imputation methods
- missing values
- k nearest neighbour
- k nearest neighbor
- classification accuracy
- missing data imputation
- data imputation
- feature selection
- nearest neighbor
- missing data
- high dimensional data
- distance function
- text categorization
- similarity search
- text classification
- support vector machine svm
- training set
- support vector
- incomplete data sets
- bayesian network classifiers
- neural network
- naive bayes
- test instances
- voting methods
- incomplete data
- information gain
- graph construction
- machine learning algorithms
- k nearest
- support vector machine
- data mining