Distributed Mining of Frequent Patterns in Big Data by Hybrid Strategies.
Junqiang LiuXiangcai YangYanjun HuBo JiangYong ZhangZhousheng YePublished in: ICDM Workshops (2019)
Keyphrases
- frequent patterns
- big data
- frequent pattern mining
- data intensive
- mining algorithm
- pattern mining
- mining frequent patterns
- sequential patterns
- mining frequent
- cloud computing
- itemsets
- interesting patterns
- sequential pattern mining
- association rules
- discovery of frequent patterns
- tree structure
- pattern growth
- big data analytics
- social media
- data management
- data analysis
- data processing
- closed patterns
- transactional databases
- business intelligence
- knowledge discovery
- discovering frequent
- data structure
- frequent itemsets
- apriori algorithm
- minimum support
- fp tree
- transaction databases
- maximal frequent
- massive datasets
- frequent sequences
- candidate generation
- distributed environment
- data analytics
- frequent itemset mining
- frequent item sets
- incremental mining
- association rule mining
- huge number
- mining frequent itemsets
- data mining
- data warehousing
- multi dimensional
- case study
- information retrieval