Apriori Versions Based on MapReduce for Mining Frequent Patterns on Big Data.
José María LunaFrancisco PadilloMykola PechenizkiySebastián VenturaPublished in: IEEE Trans. Cybern. (2018)
Keyphrases
- big data
- mining frequent patterns
- frequent patterns
- cloud computing
- fp growth
- frequent pattern mining
- data intensive
- frequent itemsets
- data analytics
- data intensive computing
- itemsets
- pattern mining
- mining frequent itemsets
- pattern growth
- data management
- mining algorithm
- candidate generation
- fp tree
- data analysis
- tree structure
- association rules
- mining frequent
- apriori algorithm
- data processing
- social media
- sequential patterns
- big data analytics
- unstructured data
- minimum support
- data structure
- business intelligence
- data mining tasks
- uncertain data
- sequential pattern mining
- frequent itemset mining
- interesting patterns
- association rule mining
- information processing
- mining association rules
- knowledge discovery
- parallel processing
- data mining applications
- itemset mining
- map reduce
- huge number
- database
- data streams
- machine learning
- databases