RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification

RED-GENE: An Evolutionary Game Theoretic Approach to Adaptive Data Stream Classification

The extensive growth of digital technologies such as the Internet of Things (IoT), social media networks and forecasting systems has led to new challenges regarding computational complexity and big data mining. The classification task in such applications is not trivial due to the high volume of rel...

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Bibliographic Details
Main Authors: Hossein Ghomeshi, Mohamed Medhat Gaber, Yevgeniya Kovalchuk
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Concept drifts
data stream mining
ensemble learning
evolutionary algorithms
non-stationary environment
Online Access:https://ieeexplore.ieee.org/document/8908673/

Internet

https://ieeexplore.ieee.org/document/8908673/

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