Mining Meaning from Text by Harvesting Frequent and Diverse Semantic Itemsets.
Luigi Di CaroGuido BoellaPublished in: DMNLP@PKDD/ECML (2014)
Keyphrases
- itemsets
- frequent patterns
- frequent itemsets
- mining algorithm
- transaction databases
- closed patterns
- minimum support
- sequential pattern mining algorithm
- semantic information
- frequent sets
- maximal frequent itemsets
- pattern mining
- minimum support threshold
- frequent itemset mining
- maximal frequent
- itemset mining
- natural language
- mining frequent
- support threshold
- association rule mining
- emerging patterns
- data structure
- frequent item sets
- frequent pattern mining
- association rules
- mining association rules
- discovering frequent
- condensed representations
- apriori algorithm
- transaction data
- data mining algorithms
- mining frequent patterns
- mining frequent itemsets
- pattern growth
- interesting association rules
- text mining
- data streams
- high utility
- association patterns
- transactional databases
- interesting patterns
- closed item sets
- sequential pattern mining
- sequential patterns
- closed itemsets
- tree structure
- fp tree
- data mining
- concise representation
- tree mining
- candidate generation
- linguistic patterns
- data mining techniques
- frequent closed itemsets
- data sets
- knowledge discovery
- high utility itemsets
- closed frequent itemsets
- web documents
- pruning strategy
- association mining
- association rules mining