Post-hoc explanation of black-box classifiers using confident itemsets.
Milad MoradiMatthias SamwaldPublished in: CoRR (2020)
Keyphrases
- black box
- itemsets
- post hoc
- frequent itemsets
- association rule mining
- itemset mining
- black boxes
- association rules
- frequent itemset mining
- minimum support
- mining algorithm
- data streams
- emerging patterns
- white box
- mining association rules
- data structure
- pattern mining
- training data
- frequent item sets
- frequent patterns
- naive bayes
- data mining algorithms
- transaction data
- transaction databases
- frequent pattern mining
- integration testing
- pruning strategy
- white box testing
- rule extraction
- apriori algorithm
- interesting itemsets
- decision trees
- mining frequent itemsets
- test cases
- interesting patterns
- test set
- multi dimensional
- association patterns
- feature selection
- mining high utility itemsets
- data sets
- database systems
- associative classifiers
- real world
- databases
- high utility itemsets
- sequential pattern mining
- database