Maintaining diversity and increasing the accuracy of classification rules through automatic speciation.
Alexander F. TulaiFranz OppacherPublished in: IEEE Congress on Evolutionary Computation (2004)
Keyphrases
- classification rules
- predictive accuracy
- genetic programming
- decision trees
- associative classifiers
- medical data sets
- rule sets
- nearest neighbor
- unseen data
- association rules
- classification algorithm
- error rate
- prediction accuracy
- associative classification
- ant miner
- decision tree algorithm
- human experts
- induction algorithms
- action rules
- fuzzy rules
- classification accuracy
- training set
- subgroup discovery
- data mining
- semi supervised
- fuzzy logic
- expert systems
- artificial intelligence