PEARL: Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams
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Publisher
Springer International Publishing
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http://link.springer.com/content/pdf/10.1007/978-3-030-47436-2_2
Reference14 articles.
1. Ahmadi, Z., Kramer, S.: Modeling recurring concepts in data streams: a graph-based framework. Knowl. Inf. Syst. 55(1), 15–44 (2017). https://doi.org/10.1007/s10115-017-1070-0
2. Anderson, R., Koh, Y.S., Dobbie, G., Bifet, A.: Recurring concept meta-learning for evolving data streams. Expert Syst. Appl. 138, 112832 (2019)
3. Ángel, A.M., Bartolo, G.J., Ernestina, M.: Predicting recurring concepts on data-streams by means of a meta-model and a fuzzy similarity function. Expert Syst. Appl. 46, 87–105 (2016)
4. Chen, K., Koh, Y.S., Riddle, P.: Proactive drift detection: predicting concept drifts in data streams using probabilistic networks. In: IJCNN, pp. 780–787. IEEE (2016)
5. Chiu, C.W., Minku, L.L.: Diversity-based pool of models for dealing with recurring concepts. In: 2018 IJCNN, pp. 1–8. IEEE (2018)
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