Author:
Agrahari Supriya,Srivastava Sakshi,Singh Anil Kumar
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Reference85 articles.
1. Agrahari S, Singh AK (2022) Concept drift detection in data stream mining: a literature review. J King Saud Univ-Comput Inf Sci 34:9523–9540
2. Agrahari S, Singh AK (2022) Disposition-based concept drift detection and adaptation in data stream. Arab J Sci Eng 47:1–17
3. Chikushi RTM, Maior RS, de Barros M, Gomes N, da Silva M, Maciel BIF (2021) Using spectral entropy and Bernoulli map to handle concept drift. Expert Syst Appl 167:114114
4. Gajbhiye MPR, Vaidya SG (2016) Classification and adaptive novel class detection of feature-evolving data streams. Int J Eng Res General Sci 4(3):616–622
5. da Silva TP, de Arruda CH (2020) Possibilistic approach for novelty detection in data streams. In: 2020 IEEE International conference on fuzzy systems (FUZZ-IEEE), pp 1–8. IEEE
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献