Neural-based classification rule learning for sequential data.
Marine ColleryPhilippe BonnardFrançois FagesRemy KustersPublished in: CoRR (2023)
Keyphrases
- rule learning
- sequential data
- decision rules
- subgroup discovery
- inductive logic programming
- rule sets
- hidden markov models
- decision trees
- pattern mining
- relational learning
- neural network
- fixed length
- sequential pattern mining
- feature vectors
- text classification
- learning scheme
- sequence data
- learning classifier systems
- genetic algorithm
- databases
- classification rules
- logic programs
- support vector machine
- hill climbing
- evolutionary algorithm
- spatio temporal
- feature selection
- rule learner