HFIM: a Spark-based hybrid frequent itemset mining algorithm for big data processing.
Krishan Kumar SethiDharavath RameshPublished in: J. Supercomput. (2017)
Keyphrases
- mining algorithm
- big data
- frequent itemsets
- data processing
- itemsets
- association rules
- pattern mining
- association rule mining
- frequent itemset mining
- sequential pattern mining
- sequential patterns
- frequent patterns
- tree structure
- negative association rules
- incremental mining
- data mining algorithms
- cloud computing
- social media
- discovering frequent
- data analysis
- business intelligence
- knowledge discovery
- minimum support
- pruning strategy
- information processing
- mining frequent itemsets
- mining association rules
- data warehousing
- data management
- data mining
- data streams
- mining frequent
- frequent item sets
- transaction databases
- data structure
- preprocessing
- itemset mining
- closed itemsets
- incremental updating
- database
- transactional databases
- data sets
- databases
- frequent pattern mining