False-Negative Frequent Items Mining from Data Streams with Bursting.
Zhihong ChongJeffrey Xu YuHongjun LuZhengjie ZhangAoying ZhouPublished in: DASFAA (2005)
Keyphrases
- data streams
- false negative
- false positives
- itemsets
- stream mining
- continuous data streams
- sliding window
- data stream mining
- frequent itemsets
- multiple data streams
- mining data streams
- closed frequent itemsets
- distributed data streams
- mining frequent itemsets
- mining algorithm
- false negative rate
- frequent closed itemsets
- streaming data
- association rule mining
- mining association rules
- high speed data streams
- concept drift
- sensor networks
- false positive rate
- frequent itemset mining
- pattern mining
- stream data
- low false positive rate
- data distribution
- outlier detection
- data sets
- sensor data
- maximal frequent itemsets
- concept drifting
- true positive
- low rate
- text mining
- limited memory
- frequent patterns
- itemset mining
- apriori algorithm
- sequential pattern mining
- frequent pattern mining
- data mining algorithms
- data mining
- mining frequent patterns
- incoming data
- minimum support
- continuous queries
- knowledge discovery
- data structure
- machine learning