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GitHub / Western-OC2-Lab / PWPAE-Concept-Drift-Detection-and-Adaptation

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Western-OC2-Lab%2FPWPAE-Concept-Drift-Detection-and-Adaptation

Stars: 186
Forks: 44
Open Issues: 0

License: mit
Language: Jupyter Notebook
Repo Size: 4.91 MB
Dependencies: 0

Created: almost 3 years ago
Updated: 7 months ago
Last pushed: 12 months ago
Last synced: 7 months ago

Topics: adaptive-learning, anomaly-detection, change-detector, cicids2017, concept-drift, data-stream, drift, drift-detection, ensemble-learning, intrusion-detection-system, iot, iot-data-analytics, lightgbm, machine-learning, online-learning, real-time-analytics, streaming-data

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