Boosting decision stumps for dynamic feature selection on data streams

Author:

Barddal Jean PaulORCID,Enembreck FabrícioORCID,Gomes Heitor Murilo,Bifet Albert,Pfahringer BernhardORCID

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brazil

CAPES, Brazil

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Cited by 26 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

1. Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems;Engineering Applications of Artificial Intelligence;2024-11

2. Online Feature Selection With Varying Feature Spaces;IEEE Transactions on Knowledge and Data Engineering;2024-09

3. OSFS‐Vague: Online streaming feature selection algorithm based on vague set;CAAI Transactions on Intelligence Technology;2024-04-08

4. Cyber Security and Data Mining: Detecting Malicious URL Using Data Mining Techniques;2023 International Conference on Communication, Security and Artificial Intelligence (ICCSAI);2023-11-23

5. An Adaptive Streaming Feature Selection Technique for Classifying Non-Stationary Data Streams;2023 7th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT);2023-10-26

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