Scaling Up the Accuracy of Bayesian Classifier Based on Frequent Itemsets by M-estimate.
Jing DuanZheng-Kui LinWeiguo YiMingyu LuPublished in: AICI (1) (2010)
Keyphrases
- frequent itemsets
- itemsets
- frequent itemset mining
- mining algorithm
- mining frequent itemsets
- association rules
- data streams
- progressive sampling
- association rule mining
- frequent itemsets mining
- discovery of association rules
- interesting patterns
- transactional databases
- mining association rules
- frequent patterns
- concise representation
- itemset mining
- data structure
- closed itemsets
- minimum support
- frequent item sets
- frequent pattern mining
- pattern mining
- transaction databases
- deduction rules
- condensed representations
- database
- frequent closed itemsets
- discovering association rules
- multi dimensional
- frequent itemset discovery