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.
Ownership
Siemens Aktiengesellschaft