ElStream: An Ensemble Learning Approach for Concept Drift Detection in Dynamic Social Big Data Stream Learning

ElStream: An Ensemble Learning Approach for Concept Drift Detection in Dynamic Social Big Data Stream Learning

With the rapid increase in communication technologies and smart devices, an enormous surge in data traffic has been observed. A huge amount of data gets generated every second by different applications, users, and devices. This rapid generation of data has created the need for solutions to analyze t...

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Bibliographic Details
Main Authors: Ahmad Abbasi, Abdul Rehman Javed, Chinmay Chakraborty, Jamel Nebhen, Wisha Zehra, Zunera Jalil
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Internet of Things
big data
smart concept drift
social data
online learning
ensemble learning
Online Access:https://ieeexplore.ieee.org/document/9417164/

Internet

https://ieeexplore.ieee.org/document/9417164/

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