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Recurrent Concept Drift in AI Models by Laura Garcia is a document available to read on EtoBox.

What is Recurrent Concept Drift in AI Models about?

This thesis explores autonomous classification models in ubiquitous environments, focusing on stream-mining techniques that adapt to concept drift in real-time data processing. It introduces the MM-PRec system, which integrates meta-model mechanisms and fuzzy similarity functions to enhance drift detection and model reuse, particularly for applications like intrusion detection systems. The work emphasizes the importance of information exchange in cybersecurity and presents experimental validations using syn

Author

Laura Garcia

Language

EN