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 (about a year ago)

Commits 26 (last one about a year ago)

Stargazers 31 (0 this week)

Watchers 4 (0 this week)

Forks 7

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RepositoryStats indexes 564,918 repositories, of these Western-OC2-Lab/MSANA-Online-Data-Stream-Analytics-And-Concept-Drift-Adaptation is ranked #538,557 (5th percentile) for total stargazers, and #366,376 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,091/16,265.

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 (#7,466/7699), iot (#1,109/1131), anomaly-detection (#292/308), feature-engineering (#106/110)

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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: 2024-09-21 @ 11:14pm, id: 544082840 / R_kgDOIG4LmA