Mining Approximate Frequent Itemsets from Noisy Data.
Jinze LiuSusan PaulsenWei WangAndrew B. NobelJan F. PrinsPublished in: ICDM (2005)
Keyphrases
- frequent itemsets
- noisy data
- itemsets
- mining algorithm
- frequent itemset mining
- frequent itemset discovery
- association rule mining
- association rules
- mining frequent itemsets
- data streams
- closed frequent itemsets
- transactional databases
- frequent patterns
- transaction databases
- discovery of association rules
- data structure
- frequent closed itemsets
- closed itemsets
- frequent itemsets mining
- mining association rules
- concise representation
- interesting patterns
- frequent pattern mining
- minimum support
- itemset mining
- frequent set mining
- transaction data
- apriori algorithm
- generalized association rules
- high dimensional
- missing data
- missing values
- data mining
- input data
- dense datasets
- discovering association rules
- mining frequent patterns
- pattern mining
- sequential patterns
- fp tree
- uncertain data
- condensed representations
- pruning strategy
- tree structure
- pattern growth
- knowledge discovery
- real world