Streaming Data Analytics
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- Courseware Public
The courseware of the course of Politecnico Di Milano offered by prof. Emanuele Della Valle together with Alessio Bernardo, Federico Giannini and Giacomo Ziffer.
Streaming-Data-Analytics/Courseware’s past year of commit activity - 2024-2025_Benchmarking-Detectors-in-SML Public
This project aims to evaluate the performance of several Concept Drift Detectors implemented in CapyMOA.
Streaming-Data-Analytics/2024-2025_Benchmarking-Detectors-in-SML’s past year of commit activity - 2024-2025_AutoML-in-CapyMOA Public
This project aims to enhance CapyMOA’s AutoML capabilities by integrating alternative model selection strategies.
Streaming-Data-Analytics/2024-2025_AutoML-in-CapyMOA’s past year of commit activity - 2024-2025_SML-Notebooks-in-CapyMOA Public
This project aims to reproduce the notebooks in CapyMOA and compare their temporal performance with similar notebooks in River.
Streaming-Data-Analytics/2024-2025_SML-Notebooks-in-CapyMOA’s past year of commit activity - 2024-2025_SML-vs-CL Public
This project aims to compare SML and CL on data streams with temporal dependencies in two distinct scenarios: virtual and real concept drifts.
Streaming-Data-Analytics/2024-2025_SML-vs-CL’s past year of commit activity - 2024-2025_Multi-order-Temporal-Injection-Tenet Public
This project aims to extend the Tenet framework to model multi-order and stochastic dependencies in streaming data, improving adaptability to less deterministic temporal relationships.
Streaming-Data-Analytics/2024-2025_Multi-order-Temporal-Injection-Tenet’s past year of commit activity
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