公开(公告)号：US10853739B2

公开(公告)日：2020-12-01

申请号：US15618406

申请日：2017-06-09

Applicant: SAP SE

Inventor： Tu Truong ,  Fuming Wu ,  Julio Navas ,  Ajain Kuzhimattathil ,  Hanxiang Chen ,  Nazanin Zaker Habibabadi ,  Omar Rahman ,  Han Li

IPC: G06N20/00 ,  G06N3/08 ,  G06N3/04 ,  G06F3/0481 ,  G06N5/00 ,  G06N20/10 ,  G06N7/00

Abstract: In an example, a machine learning algorithm is used to train an entity risk evaluation model to output an entity risk score based on transaction data in a computer network. Entity risk scores for various entities may be stored in a database, and retrieved and displayed upon user interaction with one or more reports involving corresponding entities.

公开(公告)号：US20180357559A1

公开(公告)日：2018-12-13

申请号：US15618406

申请日：2017-06-09

Applicant: SAP SE

Inventor： Tu Truong ,  Fuming Wu ,  Julio Navas ,  Ajain Kuzhimattathil ,  Hanxiang Chen ,  Nazanin Zaker Habibabadi ,  Omar Rahman ,  Han Li

IPC: G06N99/00

CPC classification number: G06N99/005 ,  G06F3/0481

Abstract: In an example, a machine learning algorithm is used to train an entity risk evaluation model to output an entity risk score based on transaction data in a computer network. Entity risk scores for various entities may be stored in a database, and retrieved and displayed upon user interaction with one or more reports involving corresponding entities.