公开(公告)号：US11836612B2

公开(公告)日：2023-12-05

申请号：US16444222

申请日：2019-06-18

Applicant: SAP SE

Inventor： Francesco Alda ,  Evgeny Arnautov ,  Amrit Raj ,  Sergey Smirnov ,  Ekaterina Sutter

IPC: G06N3/00 ,  G06N3/08 ,  G06F16/28 ,  G06F16/25

CPC classification number: G06N3/08 ,  G06F16/258 ,  G06F16/285

Abstract: Disclosed herein are system, method, and computer program product embodiments for classifying data objects using machine learning. In an embodiment, an artificial neural network may be trained to identify explained variable values corresponding to data object attributes. For example, the explained variables may be a category and a subcategory with the subcategory having a hierarchical relationship to the category. The artificial neural network may then receive a data record having one or more attribute values. The neural network may then identify a first and second explained variable value corresponding to the one or more attribute values based on the trained neural network model. The first and second explained variable values may then be associated with the data record. For example, if the data record is stored in a database, the record may be updated to include the first and second explained variable values.