A parallel approach for high utility-based frequent pattern mining in a big data environment.
Krishna Kumar MohbeySunil KumarPublished in: Iran J. Comput. Sci. (2021)
Keyphrases
- big data
- frequent pattern mining
- frequent patterns
- pattern mining
- huge number
- social media
- cloud computing
- data science
- big data analytics
- data management
- data processing
- vast amounts of data
- data analysis
- itemsets
- business intelligence
- mining frequent patterns
- candidate generation
- massive datasets
- frequent pattern discovery
- temporal pattern mining
- parallel processing
- information processing
- interesting patterns
- information retrieval
- frequent pattern mining algorithms
- commodity hardware
- machine learning
- data analytics
- pattern growth
- data driven decision making
- minimum support
- unstructured data
- frequent itemset mining
- sequential pattern mining
- parallel computing
- shared memory
- sequential patterns
- multi dimensional
- knowledge discovery
- query language
- relational databases
- association rules