Parallel Mining of Partial Periodic Itemsets in Big Data.
C. SaideepR. Uday KiranKoji ZettsuCheng-Wei WuP. Krishna ReddyMasashi ToyodaMasaru KitsuregawaPublished in: IEA/AIE (2020)
Keyphrases
- itemsets
- big data
- frequent itemsets
- mining algorithm
- mining association rules
- association rules
- association rule mining
- frequent itemset mining
- emerging patterns
- periodic patterns
- itemset mining
- pattern mining
- knowledge discovery
- frequent item sets
- data analysis
- data structure
- frequent patterns
- transactional databases
- frequent pattern mining
- interesting patterns
- data management
- big data analytics
- social media
- interesting itemsets
- minimum support
- data mining algorithms
- cloud computing
- data streams
- data processing
- association patterns
- business intelligence
- high utility itemsets
- transaction data
- closed itemsets
- mining frequent itemsets
- data mining
- interesting association rules
- sequential pattern mining algorithm
- apriori algorithm
- interestingness measures
- databases
- closed patterns
- transaction databases
- data analytics
- massive datasets
- maximal frequent itemsets
- closed frequent itemsets
- sequential pattern mining
- pattern growth
- data warehousing
- database systems
- frequent closed itemsets
- data mining methods
- data mining techniques
- data warehouse
- metadata
- mining high utility itemsets
- machine learning
- algorithms for mining association rules