TY  - JOUR
AU  - L. Lobo, Jesus
AU  - Del Ser, Javier
AU  - Herrera, Francisco
PY  - 2021
DO  - 10.1016/j.ins.2020.08.064
SN  - 0020-0255
UR  - https://hdl.handle.net/11556/3806
AB  - With the advent of fast data streams, real-time machine learning has become a challenging task, demanding many processing resources. In addition, they can be affected by the concept drift effect, by which learning methods have to detect changes in the...
LA  - eng
TI  - LUNAR: 												Cellular automata for drifting data streams
TY  - journal article
ER  -