CWIN: A New Windowing Technique for Detecting Concept Drift in Data Streams-Reference-Cited by-同舟云学术

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CWIN: A New Windowing Technique for Detecting Concept Drift in Data Streams

Published:2023-12-18 Issue: Volume:6 Page:55-56
ISSN:
Container-title:2023 IEEE 30th International Conference on High Performance Computing, Data and Analytics Workshop (HiPCW)
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Author:

Bhat Ranjan¹^ORCID,Prabhu Sharanya¹^ORCID,Bayyapu Neelima¹^ORCID

Affiliation:

1. Manipal Institute of Technology, Manipal Academy of Higher Education,Computer Science and Engineering,Manipal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10504112/10502398/10502400.pdf?arnumber=10502400

Reference7 articles.

1. Concept Drift Detection in Data Stream Mining : A literature review

2. Learning from Time-Changing Data with Adaptive Windowing

3. Learning with Drift Detection

4. Early drift detection method;Baena-Garcia,2006

5. Reactive Soft Prototype Computing for Concept Drift Streams

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