The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
On evaluating stream learning algorithms
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UCI Machine Learning Repository
Asuncion, A. (2007) · Medical Entomology and Zoology · Cited by 24,156
Neural networks for pattern recognition
(1994) · Choice Reviews Online · doi:10.5860/choice.31-5500 · Cited by 18,538
(1973) · CERN Document Server (European Organization for Nuclear Research) · Cited by 12,895
Neural Networks for Pattern Recognition
Bishop, C. M. (1995) · doi:10.1093/oso/9780198538493.001.0001 · Cited by 12,287
Probability Inequalities for sums of Bounded Random Variables
Hoeffding, W. (1994) · Springer Series in Statistics · doi:10.1007/978-1-4612-0865-5_26 · Cited by 6,666
PAGE, E. S. (1954) · Biometrika · doi:10.1093/biomet/41.1-2.100 · Cited by 5,739
Probability Inequalities for Sums of Bounded Random Variables
Hoeffding, W. (1963) · Journal of the American Statistical Association · doi:10.1080/01621459.1963.10500830 · Cited by 4,852
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms
Dietterich, T. G. (1998) · Neural Computation · doi:10.1162/089976698300017197 · Cited by 3,840
Detection of Abrupt Changes: Theory and Application
Riedel, K. S. (1994) · Technometrics · doi:10.1080/00401706.1994.10485821 · Cited by 3,518
Pattern Classification and Scene Analysis.
Clarke, M. R. B., Duda, R. O., & Hart, P. E. (1974) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344977 · Cited by 3,222
Cited by
A survey on concept drift adaptation
Gama, J., Žliobaitė, I., Bifet, A., Pechenizkiy, M., & Bouchachia, A. (2014) · ACM Computing Surveys · doi:10.1145/2523813 · Cited by 3,735
Self-citationEnsemble learning for data stream analysis: A survey
Krawczyk, B., Minku, L. L., Gama, J., Stefanowski, J., & Woźniak, M. (2017) · Information Fusion · doi:10.1016/j.inffus.2017.02.004 · Cited by 1,050
Self-citationLearning under Concept Drift: A Review
Lu, J., Liu, A., Dong, F., Gu, F., Gama, J., & Zhang, G. (2018) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2018.2876857 · Cited by 1,603
Self-citationA survey on data preprocessing for data stream mining: Current status and future directions
Ramírez-Gallego, S., Krawczyk, B., García, S., Woźniak, M., & Herrera, F. (2017) · Neurocomputing · doi:10.1016/j.neucom.2017.01.078 · Cited by 502
Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network
Fekri, M. N., Patel, H., Grolinger, K., & Sharma, V. (2021) · Applied Energy · doi:10.1016/j.apenergy.2020.116177 · Cited by 382
Metadata
- Authors
- Gama, J., Sebastião, R., & Rodrigues, P. P.
- Venue
- Machine Learning
- Published
- 2012-10-24
- Volume
- 90
- Issue
- 3
- Pages
- 317-346
- ISSN
- 0885-6125 (ISSN-L)
- 1573-0565
- OpenAlex
- W2073256825
- Cited by
- 532
- References
- 49
- FWCI
- 17.10
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Gama, J., Sebastião, R., & Rodrigues, P. P. (2013). On evaluating stream learning algorithms. Machine Learning. https://doi.org/10.1007/s10994-012-5320-9
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
