Quantifying the Resilience of Inductive Classification Algorithms.
Melanie HilarioAlexandros KalousisPublished in: PKDD (2000)
Keyphrases
- classification algorithm
- machine learning algorithms
- pattern recognition
- theoretical analysis
- machine learning
- classification systems
- data structure
- significant improvement
- computationally efficient
- feature selection
- automatic classification
- data mining algorithms
- benchmark datasets
- text classification
- worst case
- feature vectors
- unsupervised learning
- supervised learning
- orders of magnitude
- missing data
- computational complexity
- inductive logic programming
- inductive learning
- support vector
- decision trees
- nearest neighbour
- sufficient training data