A method for improving the accuracy of data mining classification algorithms.
Nikolaos MastrogiannisBasilis BoutsinasIoannis GiannikosPublished in: Comput. Oper. Res. (2009)
Keyphrases
- computational cost
- classification accuracy
- computational efficiency
- high accuracy
- classification algorithm
- computational complexity
- data mining
- classification method
- significant improvement
- benchmark data sets
- computationally efficient
- machine learning methods
- accuracy rate
- high precision
- computational speed
- classification scheme
- nearest neighbour
- support vector machine svm
- error rate
- pattern classification
- highly accurate
- convergence rate
- credit card fraud detection
- machine learning
- decision trees
- similarity measure
- preprocessing
- support vector machine
- decision rules
- neural network
- exhaustive search
- pairwise
- theoretical analysis
- training samples
- clustering method
- machine learning algorithms
- feature set
- training set
- data mining techniques
- roc curve
- classification rate
- learning algorithm
- data mining algorithms