Automated systems must adapt to evolving environments, yet many struggle with drift phenomena affecting healthcare, finance, and cybersecurity domains. The DELTA workshop addresses this by distinguishing between data and concept drift, aiming to create a practical, human-centric framework for managing drift. The workshop seeks innovative drift detection, prediction, and analysis solutions by uniting researchers and practitioners. DELTA fosters collaboration to advance the understanding and management of drift in dynamic data landscapes by featuring keynotes, paper presentations, interactive sessions, and discussions.
Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA) / Piangerelli, M.; Prenkaj, B.; Rotalinti, Y.; Joshi, A.; Stilo, G.. - (2024), pp. 6731-6732. (Intervento presentato al convegno 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024 tenutosi a Barcelona, Spain) [10.1145/3637528.3671492].
Workshop on Discovering Drift Phenomena in Evolving Data Landscape (DELTA)
Prenkaj B.
Secondo
Conceptualization
;Stilo G.
Ultimo
Supervision
2024
Abstract
Automated systems must adapt to evolving environments, yet many struggle with drift phenomena affecting healthcare, finance, and cybersecurity domains. The DELTA workshop addresses this by distinguishing between data and concept drift, aiming to create a practical, human-centric framework for managing drift. The workshop seeks innovative drift detection, prediction, and analysis solutions by uniting researchers and practitioners. DELTA fosters collaboration to advance the understanding and management of drift in dynamic data landscapes by featuring keynotes, paper presentations, interactive sessions, and discussions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
