Frequent Pairs in Data Streams: Exploiting Parallelism and Skew.
Andrea CampagnaKonstantin KutzkovRasmus PaghPublished in: ICDM Workshops (2011)
Keyphrases
- data streams
- sliding window
- sensor networks
- maximal frequent itemsets
- data stream mining
- parallel processing
- change detection
- data sets
- streaming data
- concept drift
- evolving data streams
- data distribution
- continuous data streams
- mining data streams
- itemsets
- incoming data
- shared memory
- continuous queries
- heavy hitters
- stream mining
- distributed data streams
- aspect ratio
- parallel computation
- data flow
- sensor data
- frequent patterns
- anomaly detection
- association rules
- data mining
- neural network