PhD Course: Data Stream Mining

Published January 22, 2025 - 07:00

In this course, we will discuss the problem of learning from data streams generated by evolving nonstationary processes. It will overview the advances of techniques, methods, and tools that are dedicated to managing, exploit and interpreting data streams generated from time-evolving environments. In particular, the tutorial will examine the problems of learning classification and regression models from high-speed streams of non-stationary data. How to design the experimental setup and evaluate those models. We will also discuss issues related to concept drift, change detection, and novelty detection. Auto-ML for data streams.

Seminar room - 5th floor, cube 42C
 27/01/2025 (16:00-18:00)
 28/01/2025 (16:00-18:00)
 29/01/2025 (16:00-18:00)

DS8 - 2th floor, cube 41B
  30/1/2025 (16:00-18:00)

8h 2 CFU

Teachers: 
G. Manco

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