RGNBC: Rough Gaussian Naïve Bayes Classifier for Data Stream Classification with Recurring Concept Drift
Author:
Publisher
Springer Science and Business Media LLC
Subject
Multidisciplinary
Link
http://link.springer.com/content/pdf/10.1007/s13369-016-2317-x.pdf
Reference25 articles.
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3. Rutkowski, L.; Jaworski, M.; Pietruczuk, L.; Duda, P.: Decision trees for mining data streams based on the Gaussian approximation. IEEE Trans. Knowl. Data Eng. 26(1), 108–119 (2014)
4. Brzezinski, D.; Stefanowski, J.: Reacting to different types of concept drift: the accuracy updated ensemble algorithm. IEEE Trans. Neural Netw. Learn. Syst. 25(1), 81–94 (2014)
5. Gomes, J.B.; Gaber, M.M.; Sousa, P.A.C.; Menasalvas, E.: Mining recurring concepts in a dynamic feature space. IEEE Trans. Neural Netw. Learn. Syst. 25(1), 95–110 (2014)
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