Exploring System and Machine Learning Performance Interactions when Tuning Distributed Data Stream Applications.
Lambros OdysseosHerodotos HerodotouPublished in: ICDE Workshops (2022)
Keyphrases
- machine learning
- data streams
- distributed data streams
- change detection
- distributed systems
- distributed environment
- sliding window
- peer to peer
- pattern recognition
- learning systems
- feature selection
- cooperative
- artificial intelligence
- decision trees
- outlier detection
- multi agent
- streaming data
- concept drift
- machine learning methods
- machine learning algorithms
- knowledge discovery
- computational intelligence
- knowledge acquisition
- knowledge representation
- computer science
- sensor networks
- data distribution
- text classification
- computer vision
- inductive logic programming
- information extraction
- space efficient
- natural language processing