Tiny Machine Learning for Concept Drift.

Simone Disabato Manuel Roveri

Published in: IEEE Trans. Neural Networks Learn. Syst. (2024)

Keyphrases

concept drift
machine learning
data streams
streaming data
drifting concepts
non stationary
drift detection
change detection
incremental clustering

data distribution
data stream classification
pattern recognition
machine learning methods
data stream mining
classification algorithm
evolving data streams
learning algorithm
machine learning algorithms

natural language processing
batch learning
data analysis
decision trees
concept descriptions
database
learning tasks
information extraction
active learning

inductive learning
computer vision
text mining
knowledge discovery
feature extraction
inductive logic programming
transfer learning
support vector machine
knowledge representation