Induction of Non-Monotonic Rules From Statistical Learning Models Using High-Utility Itemset Mining.
Farhad ShakerinGopal GuptaPublished in: CoRR (2019)
Keyphrases
- high utility
- itemset mining
- learning models
- itemsets
- machine learning
- association rules
- association rule mining
- sequential pattern mining
- frequent itemsets
- frequent itemset mining
- learning algorithm
- learning tasks
- apriori algorithm
- mining high utility itemsets
- high utility itemsets
- pattern mining
- mining association rules
- semi supervised learning
- loss function
- constraint programming
- graph mining
- anti monotone
- frequent pattern mining
- candidate generation
- data mining problems
- pruning strategy
- data mining
- interesting patterns
- data structure
- data sets
- pattern discovery
- mining algorithm
- frequent patterns
- text classification
- rule mining
- frequent sequences
- data analysis
- training data
- information retrieval