Sequence-Growth: A Scalable and Effective Frequent Itemset Mining Algorithm for Big Data Based on MapReduce Framework.
Yen-Hui LiangShiow-Yang WuPublished in: BigData Congress (2015)
Keyphrases
- mining algorithm
- big data
- frequent itemsets
- frequent itemset mining
- mapreduce framework
- cloud computing
- itemsets
- association rules
- association rule mining
- frequent patterns
- pattern mining
- sequential pattern mining
- pruning strategy
- sequential patterns
- tree structure
- incremental mining
- negative association rules
- data mining algorithms
- data analysis
- discovering frequent
- mining frequent itemsets
- data streams
- minimum support
- frequent item sets
- social media
- data management
- knowledge discovery
- itemset mining
- frequent sequences
- transaction databases
- incremental updating
- relational databases
- data structure
- data processing
- mining association rules
- business intelligence
- machine learning
- data mining