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Ensemble framework for concept-drift detection in multidimensional streaming data

  • Published:2020-02-16 Issue: Volume: Page:1-8
  • ISSN:1206-212X
  • Container-title:International Journal of Computers and Applications
  • language:en
  • Short-container-title:International Journal of Computers and Applications

Author:

Prasad Kalli Srinivasa Nageswara1,Rao Annaluri Sreenivasa2ORCID,Ramana Attili Venkata3

Affiliation:

1. Department CSE, Ramachandra College of Engineering, Eluru, India

2. Department of Information Technology, VNR VignanaJyothi Institute of Engineering and Technology, Hyderabad, India

3. Department of Electronics Computer Engineering (ECM), Srinidhi Institute of Science and Technology, Hyderabad, India

Publisher

Informa UK Limited

Subject

Computer Graphics and Computer-Aided Design,Computer Science Applications,Hardware and Architecture,Software

Cited by 4 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. Machine learning in concept drift detection using statistical measures;International Journal of Computers and Applications;2023-12-15

2. A Novel Ensemble Classifier Framework to Preprocess, Learn and Predict Imbalanced Heterogeneous Drifted Data Stream;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05

3. Concept Drift Detection with Optimal Machine Learning Model for Data Classification;2022 6th International Conference on Trends in Electronics and Informatics (ICOEI);2022-04-28

4. An Adaptive Deep Learning Framework for Dynamic Image Classification in the Internet of Things Environment;Sensors;2020-10-14
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