Systeme und Verfahren zur Erkennung und Korrektur von Drift in einem Datensatz

Details

Veröffentlichungs-Nr.

EP4711992

Anmeldetag

30. Juli 2025

Veröffentlichung

18. März 2026

Rechtsraum

EP

IPC

G06N20/00

Abstract

Embodiments of the present disclosure include techniques for detecting and correcting drift in a data set. Data sets may be divided into classifications. A first classifier is trained on data from multiple data sets using data from each data set having a first classification. A second classifier is trained on data from the multiple data sets using data from each data set having a second classification. The performance of the classifiers are measured. Drift is detected when the performance of either classifier is above a threshold. Some embodiments may use the trained classifiers to determine data elements from one data set that are combined with another data set for training.

Anmelder

Firma

SAP SE

Land

🇩🇪 Deutschland