Tutorial: Which Missing Feature Should I Acquire If My Data Is Streaming? – An Introduction to Active Feature Acquisition on Data Streams

In machine learning, missing features can disrupt predictive models. Active Feature Acquisition (AFA) addresses this by identifying which missing data to acquire under budget constraints. This tutorial introduces AFA for static and streaming data, guiding participants through implementing stream-based AFA methods. By the end, participants will have hands-on experience developing their own AFA solutions. This tutorial is designed for attendees unfamiliar with the topic but will also provide valuable insights for researchers working with data streams.