Method, Apparatus And Electronic Device For Detecting Data Anomalies, And Readable Storage Medium

Patent №

US 12,373,407

Granted

2025-07-29

Filed 2023

Owner

Siemens Aktiengesellschaft

Lab

AI components

0

Assignment

None on record

Dataset

AIPD

Application

18466528

Various embodiments of the teachings herein include a method for detecting data anomalies. A method may include: receiving test data; and matching the test data with a data rule determined on the basis of historical data having a shared data type with the test data. The data rule contains an antecedent and a consequent predicate set. An intersection of the antecedent predicate set and the consequent predicate set is an empty set. The antecedent predicate set contains at least one antecedent predicate. The consequent predicate set contains at least one consequent predicate. When the data to be tested satisfies all the antecedent predicates in the antecedent predicate set and fails to satisfy at least one consequent predicate in the consequent predicate set, the test data is flagged as anomalous due to failure to satisfy the data rule.

G06F 16/215G06N 5/046G06N 20/00G06N 5/01G06N 5/025

Ownership

Siemens Aktiengesellschaft

From the same owner

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