公开(公告)号：US20180329941A1

公开(公告)日：2018-11-15

申请号：US15796326

申请日：2017-10-27

Applicant: SAP SE

Inventor： Anisoara NICA ,  Reza Sherkat ,  Mihnea Andrei

IPC: G06F17/30

CPC classification number: G06F17/30584 ,  G06F17/30292 ,  G06F17/30306 ,  G06F17/30339 ,  G06F17/30371 ,  G06F17/30469 ,  G06F17/30536

Abstract: Disclosed herein are system, method, and computer program product embodiments for using a data statistic as a dynamic data integrity constraint. An embodiment operates by defining a data statistic for a column or a set of columns of a partition of a plurality of partitions of a database table. The embodiment creates a constraint data statistics object based on the data statistic. The embodiment receives a query for the database table. The embodiment determines the constraint data statistics object is consistent with a data state of the partition. The embodiment derives an implied constraint based on the constraint data statistics object. The embodiment processes the query for the partition based on the implied constraint.

公开(公告)号：US20220374682A1

公开(公告)日：2022-11-24

申请号：US17321709

申请日：2021-05-17

Applicant: SAP SE

Inventor： Anisoara NICA ,  Wanxin LI

IPC: G06N3/04 ,  G06F16/2455 ,  G06N3/08

Abstract: Disclosed herein are system, method, and computer program product embodiments for generating synthetic data records with database constraints using generative adversarial networks (GAN). The method can include training, by using a generator loss function, a generator neural network of a generator model of the GAN to generate a scaling factor and a cluster vector for a datum of a continuous variable of a continuous column of a data table, and a datum for a categorical variable of a categorical column of the data table. The generator loss function includes a penalty component determined based on a set of data constraints related to the continuous column or the categorical column.