Towards an interpretable Rules Ensemble algorithm for classification in a categorical data space.
Mohamed AzmiAbdelaziz BerradoPublished in: SITA (2015)
Keyphrases
- categorical data
- learning algorithm
- classification algorithm
- detection algorithm
- feature selection
- k means
- parameter free
- machine learning
- rule induction algorithm
- correspondence analysis
- ensemble classifier
- classification rules
- support vector machine svm
- probabilistic model
- data streams
- reinforcement learning
- similarity measure
- semi supervised
- em algorithm
- support vector machine
- search space
- high dimensional
- cluster analysis
- rule sets
- association rules
- numerical data
- data sets