Data stream partitioning re-optimization based on runtime dependency mining.
Emeric VielHaruyasu UedaPublished in: ICDE Workshops (2014)
Keyphrases
- data streams
- transactional data
- stream mining
- continuous data streams
- closed frequent itemsets
- multiple data streams
- sliding window
- optimization algorithm
- data stream mining
- optimization problems
- global optimization
- streaming data
- mining frequent itemsets
- itemsets
- data mining techniques
- concept drift
- change detection
- frequent patterns
- frequent itemsets
- text mining
- frequent closed itemsets
- data mining
- optimization process
- partitioning algorithm
- mining data streams
- data sets
- web mining
- knowledge discovery
- data analysis
- genetic algorithm