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Discovering drift phenomena in evolving landscapes : first international workshop, DELTA 2024, Barcelona, Spain, August 26, 2024 : proceedings / Marco Piangerelli, Bardh Prenkaj, Ylenia Rotalinti, Ananya Joshi, Giovanni Stilo, editors.

By: Contributor(s): Material type: TextTextSeries: Lecture notes in computer science ; 15013.Publisher: Cham : Springer, [2025]Copyright date: ©2025Description: 1 online resource (x, 165 pages) : illustrations (chiefly color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 303182346X
  • 9783031823466
Other title:
  • DELTA 2024
Subject(s): Genre/Form: Additional physical formats: Print version:: Discovering Drift Phenomena in Evolving LandscapesDDC classification:
  • 004 23/eng/20250310
LOC classification:
  • QA75.5
Online resources: 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.
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library eBook LNCS Available
Total holds: 0

International conference proceedings.

Includes author index.

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.

Online resource; title from PDF title page (SpringerLink, viewed March 10, 2025).

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