Western-OC2-Lab / MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation

Data stream analytics: Implement online learning methods to address concept drift and model drift in dynamic data streams. Code for the paper entitled "A Multi-Stage Automated Online Network Data Stream Analytics Framework for IIoT Systems" published in IEEE Transactions on Industrial Informatics.

Date Created 2022-10-01 (2 years ago)

Commits 26 (last one about a year ago)

Stargazers 31 (0 this week)

Watchers 4 (0 this week)

Forks 8

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RepositoryStats indexes 589,134 repositories, of these Western-OC2-Lab/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation is ranked #559,095 (5th percentile) for total stargazers, and #374,926 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,972/17,281.

Western-OC2-Lab/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation is also tagged with popular topics, for these it's ranked: machine-learning (#7,718/7978), iot (#1,136/1164), anomaly-detection (#314/330), feature-engineering (#110/113)

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iot drift cicids2017 data-stream concept-drift streaming-data change-detector drift-detection online-learning machine-learning adaptive-learning anomaly-detection ensemble-learning data-preprocessing iot-data-analytics feature-engineering real-time-analytics intrusion-detection-system

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26 commits on the default branch (main) since jan '22

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updated: 2024-10-04 @ 09:23pm, id: 544082840 / R_kgDOIG4LmA