MWI-Sum: A Multilingual Summarizer Based on Frequent Weighted Itemsets.
Elena BaralisLuca CaglieroAlessandro FioriPaolo GarzaPublished in: ACM Trans. Inf. Syst. (2015)
Keyphrases
- itemsets
- frequent patterns
- minimum support
- frequent sets
- frequent itemsets
- closed patterns
- maximal frequent itemsets
- support threshold
- transaction databases
- sequential pattern mining algorithm
- mining algorithm
- maximal frequent
- frequent pattern mining
- efficient discovery
- pattern mining
- association rules
- data structure
- market basket
- frequent itemset mining
- emerging patterns
- association rule mining
- data streams
- condensed representations
- itemset mining
- frequent item sets
- mining association rules
- data mining algorithms
- mining frequent
- transactional databases
- pattern growth
- interesting patterns
- high utility
- apriori algorithm
- discovering frequent
- fp tree
- mining frequent patterns
- mining frequent itemsets
- language independent
- candidate generation
- transaction data
- data sets
- tree structure
- mining high utility itemsets
- closed item sets
- algorithms for mining association rules
- concise representation
- closed itemsets
- association patterns
- sequential pattern mining
- sequential patterns
- data mining