Abstract: Learning from data streams originating from non-stationary environments is vital for many real-world applications. A notable challenge in this task is concept drift. Most existing methods ...

Strong statistics concepts help explain patterns and guide reliable decisions across many fields. Clear understanding of data types and sampling improves accuracy and reduces common analysis mistakes.

Editor's note: The IAPP is policy neutral. We publish contributed opinion and analysis pieces to enable our members to hear a broad spectrum of views in our domains. On 19 Nov., the European ...

Abstract: Concept drift arises from unpredictable data distribution shifts, degrading model performance. In evolving multiple data streams, these drifts pose greater challenges due to dynamic changes ...