Maintaining the performance of a learned classifier under concept drift.

Michaela M. Black Ray J. Hickey

Published in: Intell. Data Anal. (1999)

Keyphrases

concept drift
classification algorithm
ensemble classifier
ensemble learning
data streams
streaming data
drift detection
drifting concepts
change detection
non stationary

training data
k nearest neighbor
data stream classification
incremental clustering
batch learning
knn
class labels
image processing
concept descriptions

data stream mining
evolving data streams
data distribution
decision trees
classifier ensemble
support vector
feature set
support vector machine
feature space

training set
class imbalance
data analysis
data structure
pairwise
data sets
naive bayes
description logics
high resolution