Mining Recurrent Concepts in Data Streams Using the Discrete Fourier Transform.
Sripirakas SakthithasanRussel PearsPublished in: DaWaK (2014)
Keyphrases
- data streams
- continuous data streams
- stream mining
- mining data streams
- multiple data streams
- data stream mining
- itemsets
- frequent itemsets
- sliding window
- mining frequent itemsets
- data sets
- streaming data
- frequent closed itemsets
- closed frequent itemsets
- sensor networks
- concept drift
- limited memory
- high speed data streams
- distributed data streams
- clinical pathway
- data mining
- stream data
- knowledge discovery
- web mining
- pattern mining
- formal concept analysis
- text mining
- sensor data
- concept drifting
- sequential patterns
- evolving data streams
- recurrent neural networks
- mining algorithm
- feed forward
- data distribution
- frequent patterns
- concept learning
- web logs
- mining maximal frequent itemsets
- noisy data streams