Resource-oriented approximation for frequent itemset mining from bursty data streams.
Yoshitaka YamamotoKoji IwanumaShoshi FukudaPublished in: SIGMOD Conference (2014)
Keyphrases
- frequent itemset mining
- data streams
- frequent itemsets
- itemsets
- mining frequent itemsets
- association rule mining
- sliding window
- mining algorithm
- pattern mining
- itemset mining
- data mining
- frequent pattern mining
- uncertain data
- pattern growth
- condensed representations
- apriori algorithm
- association rules
- data structure
- website
- interesting patterns
- frequent closed itemsets
- databases
- transaction databases
- frequent patterns
- interestingness measures
- sequential pattern mining
- sequential patterns
- gray scale
- xml documents
- machine learning
- data sets
- multiple data streams
- frequent subtree mining