Tiny Machine Learning for Concept Drift.

Simone Disabato Manuel Roveri

Published in: CoRR (2021)

Keyphrases

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

data distribution
evolving data streams
classification algorithm
data stream classification
inductive learning
data stream mining
batch learning
pattern recognition
information extraction
decision trees

learning algorithm
active learning
transfer learning
learning tasks
machine learning algorithms
text classification
computer vision
data mining
sliding window

database
semi supervised learning
supervised learning
support vector machine
knowledge discovery
data analysis
network anomaly detection
neural network
data sets