Applying Prefixed-Itemset and Compression Matrix to Optimize the MapReduce-based Apriori Algorithm on Hadoop.
Rui SunYuqiang LiPublished in: ICSCA (2020)
Keyphrases
- apriori algorithm
- itemsets
- association rules
- frequent itemsets
- mapreduce framework
- frequent itemset mining
- association rule mining
- itemset mining
- fp tree
- cloud computing
- association rules mining
- minimum support
- mining algorithm
- frequent patterns
- finding frequent itemsets
- mining association rules
- frequent itemsets mining
- open source
- map reduce
- frequent pattern mining
- distributed computing
- pattern mining
- data streams
- data mining
- mining frequent itemsets
- algorithm for mining association rules
- market basket analysis
- candidate itemsets
- data structure
- frequent item sets
- interesting association rules
- knowledge discovery
- data analytics
- data intensive
- data mining techniques
- transactional databases
- data analysis
- data management
- association mining
- data mining algorithms
- big data
- databases
- uncertain data
- pattern growth
- data sets