Fast Parallel Mining of Maximally Informative k-Itemsets in Big Data.
Saber SalahReza AkbariniaFlorent MassegliaPublished in: ICDM (2015)
Keyphrases
- itemsets
- big data
- frequent itemsets
- mining algorithm
- association rules
- association rule mining
- frequent itemset mining
- mining association rules
- cloud computing
- itemset mining
- emerging patterns
- frequent pattern mining
- pattern mining
- knowledge discovery
- data structure
- frequent patterns
- interesting association rules
- data streams
- frequent item sets
- data analysis
- closed patterns
- big data analytics
- data management
- transactional databases
- business intelligence
- transaction data
- data processing
- social media
- mining frequent itemsets
- apriori algorithm
- high utility itemsets
- data mining algorithms
- transaction databases
- association patterns
- frequent closed itemsets
- sequential pattern mining algorithm
- minimum support
- interesting patterns
- interesting itemsets
- maximal frequent itemsets
- text mining
- databases
- closed itemsets
- mining high utility itemsets
- massive datasets
- interestingness measures
- anti monotone
- data analytics
- high utility
- pattern growth
- pattern discovery
- data warehousing
- information processing
- data mining