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

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Implement online learning methods to address concept 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" accepted in IEEE GlobeCom 2021.

iot machine-learning data-stream lightgbm adaptive-learning ensemble-learning drift online-learning streaming-data real-time-analytics concept-drift change-detector intrusion-detection-system anomaly-detection iot-data-analytics drift-detection cicids2017
  • Updated Sep 24, 2021
  • Jupyter Notebook

Western-OC2-Lab / OASW-Concept-Drift-Detection-and-Adaptation

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An online learning method used to address concept drift. Code for the paper entitled "A Lightweight Concept Drift Detection and Adaptation Framework for IoT Data Streams" published in IEEE Internet of Things Magazine.

iot machine-learning random-forest svm data-stream xgboost hyperparameter-optimization lightgbm drift bayesian-optimization particle-swarm-optimization online-learning real-time-analytics concept-drift change-detector intrusion-detection-system anomaly-detection nsl-kdd drift-detection
  • Updated Sep 14, 2021
  • Jupyter Notebook

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