A user parameter-free approach for mining robust sequential classification rules.
Elias EghoDominique GayMarc BoulléNicolas VoisineFabrice ClérotPublished in: Knowl. Inf. Syst. (2017)
Keyphrases
- parameter free
- classification rules
- discovered rules
- decision trees
- categorical data
- association rules
- rule sets
- discovered knowledge
- genetic programming
- rule discovery
- subgroup discovery
- outlier detection
- nearest neighbor
- classification algorithm
- data mining
- fully automatic
- interestingness measures
- knowledge discovery
- interesting rules
- ant miner
- frequent patterns
- text mining
- machine learning
- real world
- frequent itemsets
- unsupervised learning
- support vector machine
- active learning
- data analysis
- bayesian networks