Name
Title | ||
|---|---|---|
Evolving rule-based classifiers with genetic programming on GPUs for drifting data streams. |
Abstract | ||
|---|---|---|
•Grammar-guided genetic programming rule-based classifier for drifting data streams.•Online induction of highly accurate and interpretable rules.•Fast adaptation to any type of concept drift.•Mechanisms for rule diversification and adaptation.•Efficient implementation on GPUs suitable for high-speed data streams. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.patcog.2018.10.024 | Pattern Recognition |
Keywords | Field | DocType |
Machine learning,Data streams,Concept drift,Genetic programming,Rule-based classification,GPU,High-performance data mining | Interpretability,Data stream mining,Rule-based system,Data stream,Concept drift,Genetic programming,Artificial intelligence,Classifier (linguistics),Machine learning,Mathematics,Computational complexity theory | Journal |
Volume | Issue | ISSN |
87 | 1 | 0031-3203 |
Citations | PageRank | References |
2 | 0.37 | 68 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alberto Cano | 1 | 130 | 11.20 |
| Bartosz Krawczyk | 2 | 721 | 60.97 |