LEAF: Navigating Concept Drift in Cellular Networks

no code implementations • 7 Sep 2021 • Shinan Liu, Francesco Bronzino, Paul Schmitt, Arjun Nitin Bhagoji, Nick Feamster, Hector Garcia Crespo, Timothy Coyle, Brian Ward

We then show that frequent model retraining with newly available data is not sufficient to mitigate concept drift, and can even degrade model accuracy further.

BIG-bench Machine Learning Management

Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic

no code implementations • 27 Oct 2020 • Francesco Bronzino, Paul Schmitt, Sara Ayoubi, Hyojoon Kim, Renata Teixeira, Nick Feamster

We demonstrate the benefit of exploring a range of representations of network traffic and present Traffic Refinery, a proof-of-concept implementation that both monitors network traffic at 10 Gbps and transforms traffic in real time to produce a variety of feature representations for machine learning.

BIG-bench Machine Learning Malware Detection +1