www-ai.cs.tu-dortmund.de/de/LEHRE/FACHPROJEKT/SS12/paper/concept-drift/scholz_klinkenberg_2006a.pdf
drift.dvi
performance (prediction error) of their learned models on newly received data (see Sec. 2.3 and Sec. 2.4 for more details.).
2.2 Related Work on Concept Drift
In machine learning, changing or drifting concepts [...] ignoring it [26].
After formalizing the concept drift problem in Sec. 2.1, pre- vious approaches handling it are reviewed in Sec. 2.2. Sec. 3 dis- cusses related work on ensemble methods for data streams [...] of equal size, each containing m exam- ples.
z(1,1), ..., z(1,m) ︸ ︷︷ ︸
batch 1
, z(2,1), ..., z(2,m) ︸ ︷︷ ︸
batch 2
, · · · , z(t,1), ..., z(t,m) ︸ ︷︷ ︸
batch t
, z(t+1,1), ..., z(t+1,m) ︸ ︷︷ ︸
batch …