Discovering Drift Phenomena in Evolving Landscapes - First International Workshop, DELTA 2024, Barcelona, Spain, August 26, 2024, Proceedings

This book constitutes the post-conference proceedings of the First International Workshop on Discovering Drift Phenomena in Evolving Landscapes, DELTA 2024, held in Barcelona, Spain, on August 26, 2024.
The 9 full papers presented together with 1 short paper were carefully reviewed and selected from 17 submissions.
The papers are grouped into three topical sections, namely: adaptive and robust learning in dynamic environments; challenges and solutions in drift detection and anomaly explanation; and innovative approaches to concept drift detection and landscape shifts.

Summary

This book constitutes the post-conference proceedings of the First International Workshop on Discovering Drift Phenomena in Evolving Landscapes, DELTA 2024, held in Barcelona, Spain, on August 26, 2024.

The 9 full papers presented together with 1 short paper were carefully reviewed and selected from 17 submissions.

The papers are grouped into three topical sections, namely: adaptive and robust learning in dynamic environments; challenges and solutions in drift detection and anomaly explanation; and innovative approaches to concept drift detection and landscape shifts.

Product details

• Assisted by: Ananya Joshi (Editor), Marco Piangerelli (Editor), Bardh Prenkaj (Editor), Ylenia Rotalinti (Editor), Ylenia Rotalinti et al (Editor), Giovanni Stilo (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 30.03.2025
• EAN: 9783031823459
• ISBN: 978-3-0-3182345-9
• No. of pages: 165
• Dimensions: 155 mm x 10 mm x 235 mm
• Weight: 277 g
• Illustrations: X, 165 p. 81 illus., 55 illus. in color.
• Series: Lecture Notes in Computer Science
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > IT; Data Mining, Artificial Intelligence, Wissensbasierte Systeme, Expertensysteme, Supervised Learning, Unsupervised Learning, Data Mining and Knowledge Discovery, anomaly detection, Classification and regression trees, Data streaming, Data stream mining, Maintainability and maintenance