Deep Learning Versus Conventional Learning in Data Streams with Concept Drifts.
Sid RyanRoberto CorizzoIluju KiringaNathalie JapkowiczPublished in: ICMLA (2019)
Keyphrases
- deep learning
- data streams
- concept drift
- deep architectures
- stream data
- sliding window
- drifting concepts
- data stream mining
- streaming data
- weakly supervised
- data sets
- learning process
- unsupervised feature learning
- concept drifting data streams
- change detection
- learning algorithm
- machine learning
- mental models
- non stationary
- object detection
- evolving data streams
- pattern recognition
- mining data streams
- data mining