Scaling-Up Distributed Processing of Data Streams for Machine Learning.
Matthew S. NoklebyHaroon RajaWaheed U. BajwaPublished in: Proc. IEEE (2020)
Keyphrases
- distributed processing
- data streams
- machine learning
- parallel processing
- sliding window
- data mining
- distributed computing systems
- learning algorithm
- streaming data
- concept drift
- text classification
- data sets
- sensor networks
- decision trees
- stream data
- data distribution
- information extraction
- general purpose
- database systems
- continuous queries
- real time