Name
Abstract | ||
|---|---|---|
•Large comparison of ensembles configurable with drift detectors for data streams.•Code of Leveraging Bagging was modified to permit its use with any drift detector.•6 ensembles configured with 10 drift detectors are compared and evaluated.•Suggests the best ensemble+detector combinations, best ensembles and best detectors.•Challenges a common belief in the area regarding the best drift detectors. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.inffus.2019.03.006 | Information Fusion |
Keywords | Field | DocType |
Concept drift,Ensembles,Detectors,Large-scale comparison,Data stream,Online learning | Online learning,Data stream mining,Ensembles of classifiers,Naive Bayes classifier,Concept drift,Artificial intelligence,Labeled data,Classifier (linguistics),Detector,Mathematics,Machine learning | Journal |
Volume | ISSN | Citations |
52 | 1566-2535 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto S. M. Barros | 1 | 72 | 8.68 |
| Silas Garrido Teixeira de Carvalho Santos | 2 | 54 | 5.01 |